RasterImage Class

Summary: Represents a raster image supporting raster graphics operations.

Module: aspose.imaging

Full Name: aspose.imaging.RasterImage

Inheritance: IObjectWithBounds, IRasterImageArgb32PixelLoader, IRasterImageRawDataLoader, IHasXmpData, IHasMetadata, Image

Properties

Name	Type	Access	Description
auto_adjust_palette	bool	r/w	Gets or sets a value indicating whether automatic adjust palette.
background_color	Color	r/w	Gets or sets a value for the background color.
bits_per_pixel	int	r	Gets the image bits per pixel count.
bounds	Rectangle	r	Gets the image bounds.
buffer_size_hint	int	r/w	Gets or sets the buffer size hint which is defined max allowed size for all internal buffers.
container	Image	r	Gets the Image container.
data_stream_container	StreamContainer	r	Gets the object’s data stream.
disposed	bool	r	Gets a value indicating whether this instance is disposed.
file_format	FileFormat	r	Gets a value of file format
has_alpha	bool	r	Gets a value indicating whether this instance has alpha.
has_background_color	bool	r/w	Gets or sets a value indicating whether image has background color.
has_transparent_color	bool	r/w	Gets a value indicating whether image has transparent color.
height	int	r	Gets the image height.
horizontal_resolution	double	r/w	Gets or sets the horizontal resolution, in pixels per inch, of this RasterImage.
image_opacity	float	r	Gets opacity of this image.
interrupt_monitor	InterruptMonitor	r/w	Gets or sets the interrupt monitor.
is_cached	bool	r	Gets a value indicating whether object’s data is cached currently and no data reading is required.
is_raw_data_available	bool	r	Gets a value indicating whether raw data loading is available.
palette	IColorPalette	r/w	Gets or sets the color palette. The color palette is not used when pixels are represented directly.
premultiply_components	bool	r/w	Gets or sets a value indicating whether the image components must be premultiplied.
raw_custom_color_converter	IColorConverter	r/w	Gets or sets the custom color converter
raw_data_format	PixelDataFormat	r	Gets the raw data format.
raw_data_settings	RawDataSettings	r	Gets the current raw data settings. Note when using these settings the data loads without conversion.
raw_fallback_index	int	r/w	Gets or sets the fallback index to use when palette index is out of bounds
raw_indexed_color_converter	IIndexedColorConverter	r/w	Gets or sets the indexed color converter
raw_line_size	int	r	Gets the raw line size in bytes.
size	Size	r	Gets the image size.
transparent_color	Color	r/w	Gets the image transparent color.
update_xmp_data	bool	r/w	Gets or sets a value indicating whether to update the XMP metadata.
use_palette	bool	r	Gets a value indicating whether the image palette is used.
use_raw_data	bool	r/w	Gets or sets a value indicating whether to use raw data loading when the raw data loading is available.
vertical_resolution	double	r/w	Gets or sets the vertical resolution, in pixels per inch, of this RasterImage.
width	int	r	Gets the image width.
xmp_data	XmpPacketWrapper	r/w	Gets or sets the XMP metadata.

Methods

Name	Description
adjust_brightness(brightness)	Adjust of a brightness for image.
adjust_contrast(contrast)	Image contrasting
adjust_gamma(gamma)	Gamma-correction of an image.
adjust_gamma(gamma_red, gamma_green, gamma_blue)	Gamma-correction of an image.
binarize_bradley(brightness_difference)	Binarization of an image using Bradley’s adaptive thresholding algorithm using the integral image thresholding
binarize_bradley(brightness_difference, window_size)	Binarization of an image using Bradley’s adaptive thresholding algorithm using the integral image thresholding
binarize_fixed(threshold)	Binarization of an image with predefined threshold
binarize_otsu()	Binarization of an image with Otsu thresholding
blend(origin, overlay, overlay_alpha)	Blends this image instance with the overlay image.
blend(origin, overlay, overlay_area, overlay_alpha)	Blends this image instance with the overlay image.
cache_data()	Caches the data and ensures no additional data loading will be performed from the underlying DataStreamSupporter.data_stream_container.
can_load(file_path)	Determines whether image can be loaded from the specified file path.
can_load(file_path, load_options)	Determines whether image can be loaded from the specified file path and optionally using the specified open options.
can_load(stream)	Determines whether image can be loaded from the specified stream.
can_load(stream, load_options)	Determines whether image can be loaded from the specified stream and optionally using the specified loadOptions.
can_load_stream(stream)	Determines whether image can be loaded from the specified stream.
can_load_stream_with_options(stream, load_options)	Determines whether image can be loaded from the specified stream and optionally using the specified loadOptions.
can_load_with_options(file_path, load_options)	Determines whether image can be loaded from the specified file path and optionally using the specified open options.
can_save(options)	Determines whether image can be saved to the specified file format represented by the passed save options.
create(files)	Creates the multipage image containing the specified files.
create(files, throw_exception_on_load_error)	Creates the multipage image containing the specified files.
create(image_options, width, height)	Creates a new image using the specified create options.
create(images)	Creates a new image using the specified images as pages
create(images, dispose_images)	Creates a new image the specified images as pages.
create(multipage_create_options)	Creates the specified multipage create options.
create_from_files(files)	Creates the multipage image containing the specified files as lazy loading pages.
create_from_files(files, throw_exception_on_load_error)	Creates the multipage image containing the specified files as lazy loading pages.
create_from_images(images)	Creates a new image using the specified images as pages
create_from_images(images, dispose_images)	Creates a new image the specified images as pages.
crop(left_shift, right_shift, top_shift, bottom_shift)	Crop image with shifts.
crop(rectangle)	Crops the specified rectangle.
dither(dithering_method, bits_count)	Performs dithering on the current image.
dither(dithering_method, bits_count, custom_palette)	Performs dithering on the current image.
filter(rectangle, options)	Filters the specified rectangle.
get_argb_32_pixel(x, y)	Gets an image 32-bit ARGB pixel.
get_default_argb_32_pixels(rectangle)	Gets the default 32-bit ARGB pixels array.
get_default_options(args)	Gets the default options.
get_default_pixels(rectangle, partial_pixel_loader)	Gets the default pixels array using partial pixel loader.
get_default_raw_data(rectangle, partial_raw_data_loader, raw_data_settings)	Gets the default raw data array using partial pixel loader.
get_default_raw_data(rectangle, raw_data_settings)	Gets the default raw data array.
get_file_format(file_path)	Gets the file format.
get_file_format(stream)	Gets the file format.
get_file_format_of_stream(stream)	Gets the file format.
get_fitting_rectangle(rectangle, pixels, width, height)	Gets rectangle which fits the current image.
get_fitting_rectangle(rectangle, width, height)	Gets rectangle which fits the current image.
get_modify_date(use_default)	Gets the date and time the resource image was last modified.
get_original_options()	Gets the options based on the original file settings. This can be helpful to keep bit-depth and other parameters of the original image unchanged. For example, if we load a black-white PNG image with 1 bit per pixel and then save it using the DataStreamSupporter.save(file_path) method, the output PNG image with 8-bit per pixel will be produced. To avoid it and save PNG image with 1-bit per pixel, use this method to get corresponding saving options and pass them to the Image.save(file_path, options) method as the second parameter.
get_pixel(x, y)	Gets an image pixel.
get_proportional_height(width, height, new_width)	Gets a proportional height.
get_proportional_width(width, height, new_height)	Gets a proportional width.
get_serialized_stream(image_options, clipping_rectangle, page_number)	Converts to aps.
get_skew_angle()	Gets the skew angle. This method is applicable to scanned text documents, to determine the skew angle when scanning.
grayscale()	Transformation of an image to its grayscale representation
load(file_path)	Loads a new image from the specified file path or URL. If filePath is a file path the method just opens the file. If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.
load(file_path, load_options)	Loads a new image from the specified file path or URL. If filePath is a file path the method just opens the file. If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.
load(stream)	Loads a new image from the specified stream.
load(stream, load_options)	Loads a new image from the specified stream.
load_argb_32_pixels(rectangle)	Loads 32-bit ARGB pixels.
load_argb_64_pixels(rectangle)	Loads 64-bit ARGB pixels.
load_cmyk_32_pixels(rectangle)	Loads pixels in CMYK format.
load_cmyk_pixels(rectangle)	Loads pixels in CMYK format. This method is deprecated. Please use more effective the RasterImage.load_cmyk_32_pixels(rectangle) method.
load_partial_argb_32_pixels(rectangle, partial_pixel_loader)	Loads 32-bit ARGB pixels partially by packs.
load_partial_argb_64_pixels(rectangle, partial_pixel_loader)	Loads 64-bit ARGB pixels partially by packs.
load_partial_pixels(desired_rectangle, pixel_loader)	Loads pixels partially by packs.
load_pixels(rectangle)	Loads pixels.
load_raw_data(rectangle, dest_image_bounds, raw_data_settings, raw_data_loader)	Loads raw data.
load_raw_data(rectangle, raw_data_settings, raw_data_loader)	Loads raw data.
load_stream(stream)	Loads a new image from the specified stream.
load_stream_with_options(stream, load_options)	Loads a new image from the specified stream.
load_with_options(file_path, load_options)	Loads a new image from the specified file path or URL. If filePath is a file path the method just opens the file. If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.
normalize_angle()	Normalizes the angle. This method is applicable to scanned text documents to get rid of the skewed scan. This method uses RasterImage.get_skew_angle() and RasterImage.rotate(angle) methods.
normalize_angle(resize_proportionally, background_color)	Normalizes the angle. This method is applicable to scanned text documents to get rid of the skewed scan. This method uses RasterImage.get_skew_angle() and RasterImage.rotate(angle, resize_proportionally, background_color) methods.
read_argb_32_scan_line(scan_line_index)	Reads the whole scan line by the specified scan line index.
read_scan_line(scan_line_index)	Reads the whole scan line by the specified scan line index.
remove_metadata()	Removes this image instance metadata by setting this IHasXmpData.xmp_data value to None.
replace_argb(old_color_argb, old_color_diff, new_color_argb)	Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.
replace_color(old_color, old_color_diff, new_color)	Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.
replace_color(old_color_argb, old_color_diff, new_color_argb)	Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.
replace_non_transparent_colors(new_color)	Replaces all non-transparent colors with new color and preserves original alpha value to save smooth edges. Note: if you use it on images without transparency, all colors will be replaced with a single one.
replace_non_transparent_colors(new_color_argb)	Replaces all non-transparent colors with new color and preserves original alpha value to save smooth edges. Note: if you use it on images without transparency, all colors will be replaced with a single one.
resize(new_width, new_height)	Resizes the image. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.
resize(new_width, new_height, resize_type)	Resizes the image.
resize(new_width, new_height, settings)	Resizes the image with extended options.
resize_by_settings(new_width, new_height, settings)	Resizes the image.
resize_by_type(new_width, new_height, resize_type)	Resizes the image.
resize_height_proportionally(new_height)	Resizes the height proportionally. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.
resize_height_proportionally(new_height, resize_type)	Resizes the height proportionally.
resize_height_proportionally(new_height, settings)	Resizes the height proportionally.
resize_height_proportionally_settings(new_height, settings)	Resizes the height proportionally.
resize_width_proportionally(new_width)	Resizes the width proportionally. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.
resize_width_proportionally(new_width, resize_type)	Resizes the width proportionally.
resize_width_proportionally(new_width, settings)	Resizes the width proportionally.
resize_width_proportionally_settings(new_width, settings)	Resizes the width proportionally.
rotate(angle)	Rotate image around the center.
rotate(angle, resize_proportionally, background_color)	Rotate image around the center.
rotate_flip(rotate_flip_type)	Rotates, flips, or rotates and flips the image.
save()	Saves the image data to the underlying stream.
save(file_path)	Saves the image to the specified file location.
save(file_path, options)	Saves the object’s data to the specified file location in the specified file format according to save options.
save(file_path, options, bounds_rectangle)	Saves the object’s data to the specified file location in the specified file format according to save options.
save(file_path, over_write)	Saves the object’s data to the specified file location.
save(stream)	Saves the object’s data to the specified stream.
save(stream, options_base)	Saves the image’s data to the specified stream in the specified file format according to save options.
save(stream, options_base, bounds_rectangle)	Saves the image’s data to the specified stream in the specified file format according to save options.
save_argb_32_pixels(rectangle, pixels)	Saves the 32-bit ARGB pixels.
save_cmyk_32_pixels(rectangle, pixels)	Saves the pixels.
save_cmyk_pixels(rectangle, pixels)	Saves the pixels. This method is deprecated. Please use more effective the RasterImage.save_cmyk_32_pixels(rectangle, pixels) method.
save_pixels(rectangle, pixels)	Saves the pixels.
save_raw_data(data, data_offset, rectangle, raw_data_settings)	Saves the raw data.
save_to_stream(stream)	Saves the object’s data to the specified stream.
save_to_stream_with_options(stream, options_base)	Saves the image’s data to the specified stream in the specified file format according to save options.
save_to_stream_with_options_rect(stream, options_base, bounds_rectangle)	Saves the image’s data to the specified stream in the specified file format according to save options.
save_with_options(file_path, options)	Saves the object’s data to the specified file location in the specified file format according to save options.
save_with_options_rect(file_path, options, bounds_rectangle)	Saves the object’s data to the specified file location in the specified file format according to save options.
set_argb_32_pixel(x, y, argb_32_color)	Sets an image 32-bit ARGB pixel for the specified position.
set_palette(palette, update_colors)	Sets the image palette.
set_pixel(x, y, color)	Sets an image pixel for the specified position.
set_resolution(dpi_x, dpi_y)	Sets the resolution for this RasterImage.
write_argb_32_scan_line(scan_line_index, argb_32_pixels)	Writes the whole scan line to the specified scan line index.
write_scan_line(scan_line_index, pixels)	Writes the whole scan line to the specified scan line index.

Property: has_alpha

Gets a value indicating whether this instance has alpha.

See also:

Example # 1: The following example loads raster images and prints information about raw da…

Example # 2: The following example shows how to extract information about raw data format …

Property: premultiply_components

Gets or sets a value indicating whether the image components must be premultiplied.

See also:

Example # 1: The following example creates a new raster image, saves the specified semi-tr…

Property: raw_data_format

Gets the raw data format.

See also:

Example # 1: The following example loads raster images and prints information about raw da…

Method: adjust_brightness(brightness)

 adjust_brightness(brightness) 

Adjust of a brightness for image.

Parameters:

Parameter	Type	Description
brightness	int	Brightness value.

See also:

Example # 1: The following example performs brightness correction of an image.

Method: adjust_contrast(contrast)

 adjust_contrast(contrast) 

Image contrasting

Parameters:

Parameter	Type	Description
contrast	float	Contrast value (in range [-100; 100])

See also:

Example # 1: The following example performs contrast correction of an image.

Method: adjust_gamma(gamma)

 adjust_gamma(gamma) 

Gamma-correction of an image.

Parameters:

Parameter	Type	Description
gamma	float	Gamma for red, green and blue channels coefficient

See also:

Example # 1: The following example performs gamma-correction of an image.

Method: adjust_gamma(gamma_red, gamma_green, gamma_blue)

 adjust_gamma(gamma_red, gamma_green, gamma_blue) 

Gamma-correction of an image.

Parameters:

Parameter	Type	Description
gamma_red	float	Gamma for red channel coefficient
gamma_green	float	Gamma for green channel coefficient
gamma_blue	float	Gamma for blue channel coefficient

See also:

Example # 1: The following example performs gamma-correction of an image applying differen…

Method: binarize_bradley(brightness_difference)

 binarize_bradley(brightness_difference) 

Binarization of an image using Bradley’s adaptive thresholding algorithm using the integral image thresholding

Parameters:

Parameter	Type	Description
brightness_difference	double	The brightness difference between pixel and the average of an s x s window of pixels centered around this pixel.

Method: binarize_bradley(brightness_difference, window_size)

 binarize_bradley(brightness_difference, window_size) 

Binarization of an image using Bradley’s adaptive thresholding algorithm using the integral image thresholding

Parameters:

Parameter	Type	Description
brightness_difference	double	The brightness difference between pixel and the average of an s x s window of pixels centered around this pixel.
window_size	int	The size of s x s window of pixels centered around this pixel

See also:

Example # 1: The following example binarizes a raster image with Bradley’s adaptive thresh…

Method: binarize_fixed(threshold)

 binarize_fixed(threshold) 

Binarization of an image with predefined threshold

Parameters:

Parameter	Type	Description
threshold	byte	Threshold value. If corresponding gray value of a pixel is greater than threshold, a value of 255 will be assigned to it, 0 otherwise.

See also:

Example # 1: The following example binarizes a raster image with the predefined threshold….

Method: blend(origin, overlay, overlay_alpha)

 blend(origin, overlay, overlay_alpha) 

Blends this image instance with the overlay image.

Parameters:

Parameter	Type	Description
origin	Point	The background image blending origin.
overlay	RasterImage	The overlay image.
overlay_alpha	byte	The overlay alpha.

Method: blend(origin, overlay, overlay_area, overlay_alpha)

 blend(origin, overlay, overlay_area, overlay_alpha) 

Blends this image instance with the overlay image.

Parameters:

Parameter	Type	Description
origin	Point	The background image blending origin.
overlay	RasterImage	The overlay image.
overlay_area	Rectangle	The overlay area.
overlay_alpha	byte	The overlay alpha.

Method: can_load(file_path) [static]

 can_load(file_path) 

Determines whether image can be loaded from the specified file path.

Parameters:

Parameter	Type	Description
file_path	string	The file path.

Returns

Type	Description
bool	true if image can be loaded from the specified file; otherwise, false.

Method: can_load(file_path, load_options) [static]

 can_load(file_path, load_options) 

Determines whether image can be loaded from the specified file path and optionally using the specified open options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
load_options	LoadOptions	The load options.

Returns

Type	Description
bool	true if image can be loaded from the specified file; otherwise, false.

Method: can_load(stream) [static]

 can_load(stream) 

Determines whether image can be loaded from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load from.

Returns

Type	Description
bool	true if image can be loaded from the specified stream; otherwise, false.

Method: can_load(stream, load_options) [static]

 can_load(stream, load_options) 

Determines whether image can be loaded from the specified stream and optionally using the specified loadOptions.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load from.
load_options	LoadOptions	The load options.

Returns

Type	Description
bool	true if image can be loaded from the specified stream; otherwise, false.

Method: can_load_stream(stream) [static]

 can_load_stream(stream) 

Determines whether image can be loaded from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load from.

Returns

Type	Description
bool	true if image can be loaded from the specified stream; otherwise, false.

Method: can_load_stream_with_options(stream, load_options) [static]

 can_load_stream_with_options(stream, load_options) 

Determines whether image can be loaded from the specified stream and optionally using the specified loadOptions.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load from.
load_options	LoadOptions	The load options.

Returns

Type	Description
bool	true if image can be loaded from the specified stream; otherwise, false.

Method: can_load_with_options(file_path, load_options) [static]

 can_load_with_options(file_path, load_options) 

Determines whether image can be loaded from the specified file path and optionally using the specified open options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
load_options	LoadOptions	The load options.

Returns

Type	Description
bool	true if image can be loaded from the specified file; otherwise, false.

Method: can_save(options)

 can_save(options) 

Determines whether image can be saved to the specified file format represented by the passed save options.

Parameters:

Parameter	Type	Description
options	ImageOptionsBase	The save options to use.

Returns

Type	Description
bool	true if image can be saved to the specified file format represented by the passed save options; otherwise, false.

Method: create(files) [static]

 create(files) 

Creates the multipage image containing the specified files.

Parameters:

Parameter	Type	Description
files	string	The files.

Returns

Type	Description
Image	The multipage image

Method: create(files, throw_exception_on_load_error) [static]

 create(files, throw_exception_on_load_error) 

Creates the multipage image containing the specified files.

Parameters:

Parameter	Type	Description
files	string	The files.
throw_exception_on_load_error	bool	if set to true [throw exception on load error].

Returns

Type	Description
Image	The multipage image

Method: create(image_options, width, height) [static]

 create(image_options, width, height) 

Creates a new image using the specified create options.

Parameters:

Parameter	Type	Description
image_options	ImageOptionsBase	The image options.
width	int	The width.
height	int	The height.

Returns

Type	Description
Image	The newly created image.

Method: create(images) [static]

 create(images) 

Creates a new image using the specified images as pages

Parameters:

Parameter	Type	Description
images	Image[]	The images.

Returns

Type	Description
Image	The Image as IMultipageImage

Method: create(images, dispose_images) [static]

 create(images, dispose_images) 

Creates a new image the specified images as pages.

Parameters:

Parameter	Type	Description
images	Image[]	The images.
dispose_images	bool	if set to true [dispose images].

Returns

Type	Description
Image	The Image as IMultipageImage

Method: create(multipage_create_options) [static]

 create(multipage_create_options) 

Creates the specified multipage create options.

Parameters:

Parameter	Type	Description
multipage_create_options	MultipageCreateOptions	The multipage create options.

Returns

Type	Description
Image	The multipage image

Method: create_from_files(files) [static]

 create_from_files(files) 

Creates the multipage image containing the specified files as lazy loading pages.

Parameters:

Parameter	Type	Description
files	string	The files.

Returns

Type	Description
Image	The multipage image

Method: create_from_files(files, throw_exception_on_load_error) [static]

 create_from_files(files, throw_exception_on_load_error) 

Creates the multipage image containing the specified files as lazy loading pages.

Parameters:

Parameter	Type	Description
files	string	The files.
throw_exception_on_load_error	bool	if set to true throw exception on load error.

Returns

Type	Description
Image	The multipage image

Method: create_from_images(images) [static]

 create_from_images(images) 

Creates a new image using the specified images as pages

Parameters:

Parameter	Type	Description
images	Image[]	The images.

Returns

Type	Description
Image	The Image as IMultipageImage

Method: create_from_images(images, dispose_images) [static]

 create_from_images(images, dispose_images) 

Creates a new image the specified images as pages.

Parameters:

Parameter	Type	Description
images	Image[]	The images.
dispose_images	bool	if set to true [dispose images].

Returns

Type	Description
Image	The Image as IMultipageImage

Method: crop(left_shift, right_shift, top_shift, bottom_shift)

 crop(left_shift, right_shift, top_shift, bottom_shift) 

Crop image with shifts.

Parameters:

Parameter	Type	Description
left_shift	int	The left shift.
right_shift	int	The right shift.
top_shift	int	The top shift.
bottom_shift	int	The bottom shift.

See also:

Example # 1: The following example crops a raster image. The cropping area is specified vi…

Method: crop(rectangle)

 crop(rectangle) 

Crops the specified rectangle.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle.

See also:

Example # 1: The following example crops a raster image. The cropping area is be specified…

Method: dither(dithering_method, bits_count)

 dither(dithering_method, bits_count) 

Performs dithering on the current image.

Parameters:

Parameter	Type	Description
dithering_method	DitheringMethod	The dithering method.
bits_count	int	The final bits count for dithering.

See also:

Example # 1: The following example loads a raster image and performs threshold and Floyd d…

Method: dither(dithering_method, bits_count, custom_palette)

 dither(dithering_method, bits_count, custom_palette) 

Performs dithering on the current image.

Parameters:

Parameter	Type	Description
dithering_method	DitheringMethod	The dithering method.
bits_count	int	The final bits count for dithering.
custom_palette	IColorPalette	The custom palette for dithering.

Method: filter(rectangle, options)

 filter(rectangle, options) 

Filters the specified rectangle.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle.
options	FilterOptionsBase	The options.

See also:

Example # 1: The following example applies various types of filters to a raster image.

Method: get_argb_32_pixel(x, y)

 get_argb_32_pixel(x, y) 

Gets an image 32-bit ARGB pixel.

Parameters:

Parameter	Type	Description
x	int	The pixel x location.
y	int	The pixel y location.

Returns

Type	Description
int	The 32-bit ARGB pixel for the specified location.

See also:

Example # 1: The following example shows how image caching affects performance. In general…

Example # 2: The following example loads a raster image and obtains the color of an arbitr…

Method: get_default_argb_32_pixels(rectangle)

 get_default_argb_32_pixels(rectangle) 

Gets the default 32-bit ARGB pixels array.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get pixels for.

Returns

Type	Description
int	The default pixels array.

Method: get_default_options(args)

 get_default_options(args) 

Gets the default options.

Parameters:

Parameter	Type	Description
args	object	The arguments.

Returns

Type	Description
ImageOptionsBase	Default options

Method: get_default_pixels(rectangle, partial_pixel_loader)

 get_default_pixels(rectangle, partial_pixel_loader) 

Gets the default pixels array using partial pixel loader.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get pixels for.
partial_pixel_loader	IPartialArgb32PixelLoader	The partial pixel loader.

Method: get_default_raw_data(rectangle, partial_raw_data_loader, raw_data_settings)

 get_default_raw_data(rectangle, partial_raw_data_loader, raw_data_settings) 

Gets the default raw data array using partial pixel loader.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get pixels for.
partial_raw_data_loader	IPartialRawDataLoader	The partial raw data loader.
raw_data_settings	RawDataSettings	The raw data settings.

Method: get_default_raw_data(rectangle, raw_data_settings)

 get_default_raw_data(rectangle, raw_data_settings) 

Gets the default raw data array.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get raw data for.
raw_data_settings	RawDataSettings	The raw data settings.

Returns

Type	Description
byte	The default raw data array.

Method: get_file_format(file_path) [static]

 get_file_format(file_path) 

Gets the file format.

Parameters:

Parameter	Type	Description
file_path	string	The file path.

Returns

Type	Description
FileFormat	The determined file format.

Method: get_file_format(stream) [static]

 get_file_format(stream) 

Gets the file format.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream.

Returns

Type	Description
FileFormat	The determined file format.

Method: get_file_format_of_stream(stream) [static]

 get_file_format_of_stream(stream) 

Gets the file format.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream.

Returns

Type	Description
FileFormat	The determined file format.

Method: get_fitting_rectangle(rectangle, pixels, width, height) [static]

 get_fitting_rectangle(rectangle, pixels, width, height) 

Gets rectangle which fits the current image.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get fitting rectangle for.
pixels	int	The 32-bit ARGB pixels.
width	int	The object width.
height	int	The object height.

Returns

Type	Description
Rectangle	The fitting rectangle or exception if no fitting rectangle can be found.

Method: get_fitting_rectangle(rectangle, width, height) [static]

 get_fitting_rectangle(rectangle, width, height) 

Gets rectangle which fits the current image.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to get fitting rectangle for.
width	int	The object width.
height	int	The object height.

Returns

Type	Description
Rectangle	The fitting rectangle or exception if no fitting rectangle can be found.

Method: get_modify_date(use_default)

 get_modify_date(use_default) 

Gets the date and time the resource image was last modified.

Parameters:

Parameter	Type	Description
use_default	bool	if set to true uses the information from FileInfo as default value.

Returns

Type	Description
datetime	The date and time the resource image was last modified.

Method: get_original_options()

 get_original_options() 

Gets the options based on the original file settings.
This can be helpful to keep bit-depth and other parameters of the original image unchanged.
For example, if we load a black-white PNG image with 1 bit per pixel and then save it using the
DataStreamSupporter.save(file_path) method, the output PNG image with 8-bit per pixel will be produced.
To avoid it and save PNG image with 1-bit per pixel, use this method to get corresponding saving options and pass them
to the Image.save(file_path, options) method as the second parameter.

Returns

Type	Description
ImageOptionsBase	The options based on the original file settings.

Method: get_pixel(x, y)

 get_pixel(x, y) 

Gets an image pixel.

Parameters:

Parameter	Type	Description
x	int	The pixel x location.
y	int	The pixel y location.

Returns

Type	Description
Color	The pixel color for the specified location.

See also:

Example # 1: The following example loads a raster image and obtains the color of an arbitr…

Method: get_proportional_height(width, height, new_width) [static]

 get_proportional_height(width, height, new_width) 

Gets a proportional height.

Parameters:

Parameter	Type	Description
width	int	The width.
height	int	The height.
new_width	int	The new width.

Returns

Type	Description
int	The proportional height.

Method: get_proportional_width(width, height, new_height) [static]

 get_proportional_width(width, height, new_height) 

Gets a proportional width.

Parameters:

Parameter	Type	Description
width	int	The width.
height	int	The height.
new_height	int	The new height.

Returns

Type	Description
int	The proportional width.

Method: get_serialized_stream(image_options, clipping_rectangle, page_number)

 get_serialized_stream(image_options, clipping_rectangle, page_number) 

Converts to aps.

Parameters:

Parameter	Type	Description
image_options	ImageOptionsBase	The image options.
clipping_rectangle	Rectangle	The clipping rectangle.
page_number	int[]	The page number.

Returns

Type	Description
_io.BufferedRandom	The serialized stream

Method: get_skew_angle()

 get_skew_angle() 

Gets the skew angle.
This method is applicable to scanned text documents, to determine the skew angle when scanning.

Returns

Type	Description
float	The skew angle, in degrees.

Method: load(file_path) [static]

 load(file_path) 

Loads a new image from the specified file path or URL.
If filePath is a file path the method just opens the file.
If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.

Parameters:

Parameter	Type	Description
file_path	string	The file path or URL to load image from.

Returns

Type	Description
Image	The loaded image.

Method: load(file_path, load_options) [static]

 load(file_path, load_options) 

Loads a new image from the specified file path or URL.
If filePath is a file path the method just opens the file.
If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.

Parameters:

Parameter	Type	Description
file_path	string	The file path or URL to load image from.
load_options	LoadOptions	The load options.

Returns

Type	Description
Image	The loaded image.

Method: load(stream) [static]

 load(stream) 

Loads a new image from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load image from.

Returns

Type	Description
Image	The loaded image.

Method: load(stream, load_options) [static]

 load(stream, load_options) 

Loads a new image from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load image from.
load_options	LoadOptions	The load options.

Returns

Type	Description
Image	The loaded image.

Method: load_argb_32_pixels(rectangle)

 load_argb_32_pixels(rectangle) 

Loads 32-bit ARGB pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.

Returns

Type	Description
int	The loaded 32-bit ARGB pixels array.

See also:

Example # 1: The following example shows how to load and process pixels of a raster image….

Method: load_argb_64_pixels(rectangle)

 load_argb_64_pixels(rectangle) 

Loads 64-bit ARGB pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.

Returns

Type	Description
long	The loaded 64-bit ARGB pixels array.

See also:

Example # 1: The following example shows how to load and process pixels of a raster image….

Method: load_cmyk_32_pixels(rectangle)

 load_cmyk_32_pixels(rectangle) 

Loads pixels in CMYK format.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.

Returns

Type	Description
int	The loaded CMYK pixels presentes as 32-bit inateger values.

Method: load_cmyk_pixels(rectangle)

 load_cmyk_pixels(rectangle) 

Loads pixels in CMYK format.
This method is deprecated. Please use more effective the RasterImage.load_cmyk_32_pixels(rectangle) method.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.

Returns

Type	Description
CmykColor[]	The loaded CMYK pixels array.

Method: load_partial_argb_32_pixels(rectangle, partial_pixel_loader)

 load_partial_argb_32_pixels(rectangle, partial_pixel_loader) 

Loads 32-bit ARGB pixels partially by packs.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The desired rectangle.
partial_pixel_loader	IPartialArgb32PixelLoader	The 32-bit ARGB pixel loader.

Method: load_partial_argb_64_pixels(rectangle, partial_pixel_loader)

 load_partial_argb_64_pixels(rectangle, partial_pixel_loader) 

Loads 64-bit ARGB pixels partially by packs.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The desired rectangle.
partial_pixel_loader	IPartialArgb64PixelLoader	The 64-bit ARGB pixel loader.

Method: load_partial_pixels(desired_rectangle, pixel_loader)

 load_partial_pixels(desired_rectangle, pixel_loader) 

Loads pixels partially by packs.

Parameters:

Parameter	Type	Description
desired_rectangle	Rectangle	The desired rectangle.
pixel_loader	IPartialPixelLoader	The pixel loader.

Method: load_pixels(rectangle)

 load_pixels(rectangle) 

Loads pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.

Returns

Type	Description
Color[]	The loaded pixels array.

See also:

Example # 1: This example shows how to load a pixels information in an array of Color, man…

Example # 2: The following example shows how to load and process pixels of a raster image….

Method: load_raw_data(rectangle, dest_image_bounds, raw_data_settings, raw_data_loader)

 load_raw_data(rectangle, dest_image_bounds, raw_data_settings, raw_data_loader) 

Loads raw data.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load raw data from.
dest_image_bounds	Rectangle	The dest image bounds.
raw_data_settings	RawDataSettings	The raw data settings to use for loaded data. Note if data is not in the format specified then data conversion will be performed.
raw_data_loader	IPartialRawDataLoader	The raw data loader.

Method: load_raw_data(rectangle, raw_data_settings, raw_data_loader)

 load_raw_data(rectangle, raw_data_settings, raw_data_loader) 

Loads raw data.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load raw data from.
raw_data_settings	RawDataSettings	The raw data settings to use for loaded data. Note if data is not in the format specified then data conversion will be performed.
raw_data_loader	IPartialRawDataLoader	The raw data loader.

Method: load_stream(stream) [static]

 load_stream(stream) 

Loads a new image from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load image from.

Returns

Type	Description
Image	The loaded image.

Method: load_stream_with_options(stream, load_options) [static]

 load_stream_with_options(stream, load_options) 

Loads a new image from the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to load image from.
load_options	LoadOptions	The load options.

Returns

Type	Description
Image	The loaded image.

Method: load_with_options(file_path, load_options) [static]

 load_with_options(file_path, load_options) 

Loads a new image from the specified file path or URL.
If filePath is a file path the method just opens the file.
If filePath is an URL, the method downloads the file, stores it as a temporary one, and opens it.

Parameters:

Parameter	Type	Description
file_path	string	The file path or URL to load image from.
load_options	LoadOptions	The load options.

Returns

Type	Description
Image	The loaded image.

Method: normalize_angle(resize_proportionally, background_color)

 normalize_angle(resize_proportionally, background_color) 

Normalizes the angle.
This method is applicable to scanned text documents to get rid of the skewed scan.
This method uses RasterImage.get_skew_angle() and RasterImage.rotate(angle, resize_proportionally, background_color) methods.

Parameters:

Parameter	Type	Description
resize_proportionally	bool	if set to true you will have your image size changed according to rotated rectangle (corner points) projections in other case that leaves dimensions untouched and only internal image contents are rotated.
background_color	Color	Color of the background.

Method: read_argb_32_scan_line(scan_line_index)

 read_argb_32_scan_line(scan_line_index) 

Reads the whole scan line by the specified scan line index.

Parameters:

Parameter	Type	Description
scan_line_index	int	Zero based index of the scan line.

Returns

Type	Description
int	The scan line 32-bit ARGB color values array.

Method: read_scan_line(scan_line_index)

 read_scan_line(scan_line_index) 

Reads the whole scan line by the specified scan line index.

Parameters:

Parameter	Type	Description
scan_line_index	int	Zero based index of the scan line.

Returns

Type	Description
Color[]	The scan line pixel color values array.

Method: replace_argb(old_color_argb, old_color_diff, new_color_argb)

 replace_argb(old_color_argb, old_color_diff, new_color_argb) 

Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.

Parameters:

Parameter	Type	Description
old_color_argb	int	Old color ARGB value to be replaced.
old_color_diff	byte	Allowed difference in old color to be able to widen replaced color tone.
new_color_argb	int	New color ARGB value to replace old color with.

Method: replace_color(old_color, old_color_diff, new_color)

 replace_color(old_color, old_color_diff, new_color) 

Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.

Parameters:

Parameter	Type	Description
old_color	Color	Old color to be replaced.
old_color_diff	byte	Allowed difference in old color to be able to widen replaced color tone.
new_color	Color	New color to replace old color with.

Method: replace_color(old_color_argb, old_color_diff, new_color_argb)

 replace_color(old_color_argb, old_color_diff, new_color_argb) 

Replaces one color to another with allowed difference and preserves original alpha value to save smooth edges.

Parameters:

Parameter	Type	Description
old_color_argb	int	Old color ARGB value to be replaced.
old_color_diff	byte	Allowed difference in old color to be able to widen replaced color tone.
new_color_argb	int	New color ARGB value to replace old color with.

Method: replace_non_transparent_colors(new_color)

 replace_non_transparent_colors(new_color) 

Replaces all non-transparent colors with new color and preserves original alpha value to save smooth edges.
Note: if you use it on images without transparency, all colors will be replaced with a single one.

Parameters:

Parameter	Type	Description
new_color	Color	New color to replace non transparent colors with.

Method: replace_non_transparent_colors(new_color_argb)

 replace_non_transparent_colors(new_color_argb) 

Replaces all non-transparent colors with new color and preserves original alpha value to save smooth edges.
Note: if you use it on images without transparency, all colors will be replaced with a single one.

Parameters:

Parameter	Type	Description
new_color_argb	int	New color ARGB value to replace non transparent colors with.

Method: resize(new_width, new_height)

 resize(new_width, new_height) 

Resizes the image. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
new_height	int	The new height.

Method: resize(new_width, new_height, resize_type)

 resize(new_width, new_height, resize_type) 

Resizes the image.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
new_height	int	The new height.
resize_type	ResizeType	The resize type.

See also:

Example # 1: This example loads a raster image and resizes it using various resizing methods.

Method: resize(new_width, new_height, settings)

 resize(new_width, new_height, settings) 

Resizes the image with extended options.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
new_height	int	The new height.
settings	ImageResizeSettings	The resize settings.

See also:

Example # 1: This example loads a raster image and resizes it using various resizing setti…

Method: resize_by_settings(new_width, new_height, settings)

 resize_by_settings(new_width, new_height, settings) 

Resizes the image.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
new_height	int	The new height.
settings	ImageResizeSettings	The resize settings.

Method: resize_by_type(new_width, new_height, resize_type)

 resize_by_type(new_width, new_height, resize_type) 

Resizes the image.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
new_height	int	The new height.
resize_type	ResizeType	The resize type.

Method: resize_height_proportionally(new_height)

 resize_height_proportionally(new_height) 

Resizes the height proportionally. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.

Parameters:

Parameter	Type	Description
new_height	int	The new height.

Method: resize_height_proportionally(new_height, resize_type)

 resize_height_proportionally(new_height, resize_type) 

Resizes the height proportionally.

Parameters:

Parameter	Type	Description
new_height	int	The new height.
resize_type	ResizeType	Type of the resize.

Method: resize_height_proportionally(new_height, settings)

 resize_height_proportionally(new_height, settings) 

Resizes the height proportionally.

Parameters:

Parameter	Type	Description
new_height	int	The new height.
settings	ImageResizeSettings	The image resize settings.

Method: resize_height_proportionally_settings(new_height, settings)

 resize_height_proportionally_settings(new_height, settings) 

Resizes the height proportionally.

Parameters:

Parameter	Type	Description
new_height	int	The new height.
settings	ImageResizeSettings	The image resize settings.

Method: resize_width_proportionally(new_width)

 resize_width_proportionally(new_width) 

Resizes the width proportionally. The default ResizeType.NEAREST_NEIGHBOUR_RESAMPLE is used.

Parameters:

Parameter	Type	Description
new_width	int	The new width.

Method: resize_width_proportionally(new_width, resize_type)

 resize_width_proportionally(new_width, resize_type) 

Resizes the width proportionally.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
resize_type	ResizeType	Type of the resize.

Method: resize_width_proportionally(new_width, settings)

 resize_width_proportionally(new_width, settings) 

Resizes the width proportionally.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
settings	ImageResizeSettings	The image resize settings.

Method: resize_width_proportionally_settings(new_width, settings)

 resize_width_proportionally_settings(new_width, settings) 

Resizes the width proportionally.

Parameters:

Parameter	Type	Description
new_width	int	The new width.
settings	ImageResizeSettings	The image resize settings.

Method: rotate(angle)

 rotate(angle) 

Rotate image around the center.

Parameters:

Parameter	Type	Description
angle	float	The rotate angle in degrees. Positive values will rotate clockwise.

Method: rotate(angle, resize_proportionally, background_color)

 rotate(angle, resize_proportionally, background_color) 

Rotate image around the center.

Parameters:

Parameter	Type	Description
angle	float	The rotate angle in degrees. Positive values will rotate clockwise.
resize_proportionally	bool	if set to true you will have your image size changed according to rotated rectangle (corner points) projections in other case that leaves dimensions untouched and only internal image contents are rotated.
background_color	Color	Color of the background.

Method: rotate_flip(rotate_flip_type)

 rotate_flip(rotate_flip_type) 

Rotates, flips, or rotates and flips the image.

Parameters:

Parameter	Type	Description
rotate_flip_type	RotateFlipType	Type of the rotate flip.

Method: save(file_path)

 save(file_path) 

Saves the image to the specified file location.

Parameters:

Parameter	Type	Description
file_path	string	The file path to save the image to.

Method: save(file_path, options)

 save(file_path, options) 

Saves the object’s data to the specified file location in the specified file format according to save options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
options	ImageOptionsBase	The options.

Method: save(file_path, options, bounds_rectangle)

 save(file_path, options, bounds_rectangle) 

Saves the object’s data to the specified file location in the specified file format according to save options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
options	ImageOptionsBase	The options.
bounds_rectangle	Rectangle	The destination image bounds rectangle. Set the empty rectangle for use sourse bounds.

Method: save(file_path, over_write)

 save(file_path, over_write) 

Saves the object’s data to the specified file location.

Parameters:

Parameter	Type	Description
file_path	string	The file path to save the object’s data to.
over_write	bool	if set to true over write the file contents, otherwise append will occur.

Method: save(stream)

 save(stream) 

Saves the object’s data to the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the object’s data to.

Method: save(stream, options_base)

 save(stream, options_base) 

Saves the image’s data to the specified stream in the specified file format according to save options.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the image’s data to.
options_base	ImageOptionsBase	The save options.

Method: save(stream, options_base, bounds_rectangle)

 save(stream, options_base, bounds_rectangle) 

Saves the image’s data to the specified stream in the specified file format according to save options.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the image’s data to.
options_base	ImageOptionsBase	The save options.
bounds_rectangle	Rectangle	The destination image bounds rectangle. Set the empty rectangle for use source bounds.

Method: save_argb_32_pixels(rectangle, pixels)

 save_argb_32_pixels(rectangle, pixels) 

Saves the 32-bit ARGB pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to save pixels to.
pixels	int	The 32-bit ARGB pixels array.

See also:

Example # 1: The following example fills the central area of a raster image with black pix…

Method: save_cmyk_32_pixels(rectangle, pixels)

 save_cmyk_32_pixels(rectangle, pixels) 

Saves the pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to save pixels to.
pixels	int	The CMYK pixels presented as the 32-bit integer values.

See also:

Example # 1: The following example fills the central area of a raster image with black pix…

Method: save_cmyk_pixels(rectangle, pixels)

 save_cmyk_pixels(rectangle, pixels) 

Saves the pixels.
This method is deprecated. Please use more effective the RasterImage.save_cmyk_32_pixels(rectangle, pixels) method.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to save pixels to.
pixels	CmykColor[]	The CMYK pixels array.

Method: save_pixels(rectangle, pixels)

 save_pixels(rectangle, pixels) 

Saves the pixels.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to save pixels to.
pixels	Color[]	The pixels array.

See also:

Example # 1: This example shows how to load a pixels information in an array of Color, man…

Example # 2: The following example fills the central area of a raster image with black pix…

Method: save_raw_data(data, data_offset, rectangle, raw_data_settings)

 save_raw_data(data, data_offset, rectangle, raw_data_settings) 

Saves the raw data.

Parameters:

Parameter	Type	Description
data	byte	The raw data.
data_offset	int	The starting raw data offset.
rectangle	Rectangle	The raw data rectangle.
raw_data_settings	RawDataSettings	The raw data settings the data is in.

Method: save_to_stream(stream)

 save_to_stream(stream) 

Saves the object’s data to the specified stream.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the object’s data to.

Method: save_to_stream_with_options(stream, options_base)

 save_to_stream_with_options(stream, options_base) 

Saves the image’s data to the specified stream in the specified file format according to save options.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the image’s data to.
options_base	ImageOptionsBase	The save options.

Method: save_to_stream_with_options_rect(stream, options_base, bounds_rectangle)

 save_to_stream_with_options_rect(stream, options_base, bounds_rectangle) 

Saves the image’s data to the specified stream in the specified file format according to save options.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save the image’s data to.
options_base	ImageOptionsBase	The save options.
bounds_rectangle	Rectangle	The destination image bounds rectangle. Set the empty rectangle for use source bounds.

Method: save_with_options(file_path, options)

 save_with_options(file_path, options) 

Saves the object’s data to the specified file location in the specified file format according to save options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
options	ImageOptionsBase	The options.

Method: save_with_options_rect(file_path, options, bounds_rectangle)

 save_with_options_rect(file_path, options, bounds_rectangle) 

Saves the object’s data to the specified file location in the specified file format according to save options.

Parameters:

Parameter	Type	Description
file_path	string	The file path.
options	ImageOptionsBase	The options.
bounds_rectangle	Rectangle	The destination image bounds rectangle. Set the empty rectangle for use sourse bounds.

Method: set_argb_32_pixel(x, y, argb_32_color)

 set_argb_32_pixel(x, y, argb_32_color) 

Sets an image 32-bit ARGB pixel for the specified position.

Parameters:

Parameter	Type	Description
x	int	The pixel x location.
y	int	The pixel y location.
argb_32_color	int	The 32-bit ARGB pixel for the specified position.

See also:

Example # 1: The following example loads a raster image, and sets the color of an arbitrar…

Method: set_palette(palette, update_colors)

 set_palette(palette, update_colors) 

Sets the image palette.

Parameters:

Parameter	Type	Description
palette	IColorPalette	The palette to set.
update_colors	bool	if set to true colors will be updated according to the new palette; otherwise color indexes remain unchanged. Note that unchanged indexes may crash the image on loading if some indexes have no corresponding palette entries.

Method: set_pixel(x, y, color)

 set_pixel(x, y, color) 

Sets an image pixel for the specified position.

Parameters:

Parameter	Type	Description
x	int	The pixel x location.
y	int	The pixel y location.
color	Color	The pixel color for the specified position.

See also:

Example # 1: The following example loads a raster image, and sets the color of an arbitrar…

Method: set_resolution(dpi_x, dpi_y)

 set_resolution(dpi_x, dpi_y) 

Sets the resolution for this RasterImage.

Parameters:

Parameter	Type	Description
dpi_x	double	The horizontal resolution, in dots per inch, of the RasterImage.
dpi_y	double	The vertical resolution, in dots per inch, of the RasterImage.

Method: write_argb_32_scan_line(scan_line_index, argb_32_pixels)

 write_argb_32_scan_line(scan_line_index, argb_32_pixels) 

Writes the whole scan line to the specified scan line index.

Parameters:

Parameter	Type	Description
scan_line_index	int	Zero based index of the scan line.
argb_32_pixels	int	The 32-bit ARGB colors array to write.

Method: write_scan_line(scan_line_index, pixels)

 write_scan_line(scan_line_index, pixels) 

Writes the whole scan line to the specified scan line index.

Parameters:

Parameter	Type	Description
scan_line_index	int	Zero based index of the scan line.
pixels	Color[]	The pixel colors array to write.

Examples

This example shows how to load a pixels information in an array of Color, manipulates the array and set it back to the image. To perform these operations, this example creates a new Image file (in GIF format) using MemoryStream object.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Color
from aspose.imaging.externsions import StreamExtensions as strm_ext
from aspose.imaging.imageoptions import GifOptions
from aspose.imaging.sources import StreamSource

# Create an instance of MemoryStream
with strm_ext.create_memory_stream() as stream:
	#Create an instance of GifOptions and set its various properties including the Source property
	with GifOptions() as gifOptions:
		gifOptions.source = StreamSource(stream)

		# Create an instance of Image
		with as_of(Image.create(gifOptions, 500, 500), RasterImage) as image:
			# Get the pixels of image by specifying the area as image boundary
			pixels = image.load_pixels(image.bounds)

			yellow_color = Color.yellow
			blue_color = Color.blue
			#Loop over the Array and sets color of alternative indexed pixel
			for index in range(pixel.length):
				if index % 2 == 0:
					#Set the indexed pixel color to yellow
					pixels[index] = yellow_color
				else:
					#Set the indexed pixel color to blue
					pixels[index] = blue_color

			#Apply the pixel changes to the image
			image.save_pixels(image.bounds, pixels)

			# save all changes.
			image.save()

	# Write MemoryStream to File
	stream.seek(0)
	with open(r"C:\temp\output.gif", "wb") as fileStream:
		fileStream.write(stream.read())
}

The following example shows how image caching affects performance. In general case, reading cached data is performed faster than reading non-cached data.

from aspose.imaging import Image, Rectangle
from aspose.imaging.imageoptions import PngOptions
from os.path import join as path_join

directory = r"c:\temp"

# Load an image from a PNG file.
with Image.load(path_join(directory, "sample.png")) as image:
	# Cache all pixel data so that no additional data loading will be performed from the underlying data stream
	image.cache_daata()

	start_time = timedelta()

	# Reading all pixels is pretty fast.
	rasterImage = as_of(image, RasterImage)
	for y in range(image.height):
		for x in range(image.width):
			color = rasterImage.get_argb_32_pixel(x, y)
			
	end_time = timedelta()
	time = (end_time.microseconds - start_time.microseconds) / 1000000
	print(f"Reading all cached pixels took {time} ms.")


# Load an image from a PNG file
with Image.load(path_join(directory, "sample.png")) as image:
	start_time = timedelta()

	# Reading all pixels is not as fast as when caching
	rasterImage = as_of(image, RasterImage)
	for y in range(image.height):
		for x in range(image.width):
			color = rasterImage.get_argb_32_pixel(x, y)

	end_time = timedelta()
	time = (end_time.microseconds - start_time.microseconds) / 1000000
	print(f"Reading all pixels without preliminary caching took {time} ms.")

# The output may look like this:
# Reading all cached pixels took 1500 ms.
# Reading all pixels without preliminary caching took 150000 ms.

The following example creates a new raster image, saves the specified semi-transparent pixels, then loads those pixels and gets final colors in the premultiplied form.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Color
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.sources import StreamSource
from aspose.imaging.fileformats.png import PngColorType

image_width = 3
image_height = 2

colors = [
	Color.from_argb(127, 255, 0, 0),
	Color.from_argb(127, 0, 255, 0),
	Color.from_argb(127, 0, 0, 255),
	Color.from_argb(127, 255, 255, 0),
	Color.from_argb(127, 255, 0, 255),
	Color.from_argb(127, 0, 255, 255)
]

create_options = PngOptions()
create_options.source = StreamSource()
create_options.color_type = PngColorType.TRUECOLOR_WITH_ALPHA

with Image.create(create_options, image_width, image_height) as image:
	raster_image = as_of(image, RasterImage)

	# Save pixels for the whole image.
	raster_image.save_pixels(raster_image.bounds, colors)

	# The pixels are stored in the original image in the non-premultiplied form.
	# Need to specify the corresponding option explicitly to obtain premultiplied color components.
	# The premultiplied color components are calculated by the formulas:
	# red = original_red * alpha / 255;
	# green = original_green * alpha / 255;
	# blue = original_blue * alpha / 255;
	raster_image.premultiply_components = True
	premultiplied_colors = raster_image.load_pixels(raster_image.bounds)
	for i in range(len(colors)):
		print(f"Original color: {colors[i]}")
		print(f"Premultiplied color: {premultiplied_colors[i]}")

The following example loads raster images and prints information about raw data format and alpha channel.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

# The image files to load.
fileNames = (r"c:\temp\sample.bmp", r"c:\temp\alpha.png")

for fileName in fileNames:
	with Image.load(fileName) as image:
		raster_image = as_of(image, RasterImage)
		print(f"ImageFile={fileName}, FileFormat={raster_image.raw_data_format}, HasAlpha={raster_image.has_alpha}")

# The output may look like this:
# ImageFile=c:\temp\sample.bmp, FileFormat=Rgb24Bpp, used channels: 8,8,8, HasAlpha=False
# ImageFile=c:\temp\alpha.png, FileFormat=RGBA32Bpp, used channels: 8,8,8,8, HasAlpha=True

The following example loads a raster image and performs threshold and Floyd dithering using different palette depth.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, DitheringMethod
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Perform threshold dithering using 4-bit color palette which contains 16 colors.
	# The more bits specified the higher quality and the bigger size of the output image.
	# Note that only 1-bit, 4-bit and 8-bit palettes are supported at the moment.
	rasterImage.dither(DitheringMethod.THRESHOLD_DITHERING, 4)

	rasterImage.save(join_path(directory, "sample.ThresholdDithering4.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)

	# Perform Floyd dithering using 1-bit color palette which contains only 2 colors - black and white.
	# The more bits specified the higher quality and the bigger size of the output image.
	# Note that only 1-bit, 4-bit and 8-bit palettes are supported at the moment.
	rasterImage.dither(DitheringMethod.FLOYD_STEINBERG_DITHERING, 1)
	rasterImage.save(join_path(directory, "sample.FloydSteinbergDithering1.png"))

The following example loads a raster image and obtains the color of an arbitrary pixel represented as a 32-bit integer value.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

with Image.load("sample.png") as image:
	rasterImage = as_of(image, RasterImage)

	# Get an integer representation of the color of the top-left pixel of the image.
	color = rasterImage.get_argb_32_pixel(0, 0)

	# To obtain the values of the individual color components, shift the color value by a corresponding number of bits
	alpha = (color >> 24) & 0xff
	red = (color >> 16) & 0xff
	green = (color >> 8) & 0xff
	blue = (color >> 0) & 0xff

	print(f"The color of the pixel(0,0) is A={alpha},R={red},G={green},B={blue}")

The following example loads a raster image and obtains the color of an arbitrary pixel.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

with Image.load("sample.png") as image:
	rasterImage = as_of(image, RasterImage)
	# Get the color of the top-left pixel of the image.
	color = rasterImage.get_pixel(0, 0)

	# Obtain the values of the individual color components
	alpha = color.a
	red = color.r
	green = color.g
	blue = color.b

	print(f"The color of the pixel(0,0) is A={alpha},R={red},G={green},B={blue}")

The following example loads a raster image, and sets the color of an arbitrary pixel.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Color

with Image.load("sample.png") as image:
	rasterImage = as_of(image, RasterImage)
	# Sets the color of the top-left pixel.
	rasterImage.set_argb_32_pixel(0, 0, Color.aqua.to_argb())
	# Another way is to pass an instance of the aspose.imaging.Color directly
	rasterImage.set_pixel(0, 0, Color.aqua)

The following example shows how to load and process pixels of a raster image. The pixels are represented as 32-bit integer values. For example, consider a problem of counting of fully transparent pixels of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

with Image.load("alpha.png") as image:
	rasterImage = as_of(image, RasterImage)

	# Load pixels for the whole image. Any rectangular part of the image can be specified as a parameter of the aspose.imaging.RasterImage.load_argb_32_pixels(rectangle) method.
	pixels = rasterImage.load_argb_32_pixels(rasterImage.bounds)

	count = 0
	for pixel in pixels:
		alpha = (pixel >> 24) & 0xff
		if alpha == 0:
			count += 1

	print(f"The number of fully transparent pixels is {count}")
	print(f"The total number of pixels is {image.width * image.height}")

The following example shows how to load and process pixels of a raster image. The pixels are represented as 64-bit integer values. For example, consider a problem of counting of fully transparent pixels of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

with Image.load("16rgba.png") as image:
	rasterImage = as_of(image, RasterImage)
	# Load pixels for the whole image. Any rectangular part of the image can be specified as a parameter of the aspose.imaging.RasterImage.load_argb_64_pixels method.
	# Note that the image itself must have 16 bits per sample, because aspose.imaging.RasterImage.load_argb_64_pixels doesn't work with 8 bit per sample.
	# In order to work with 8 bits per sample please use the good old aspose.imaging.RasterImage.load_argb_64_pixels method.
	pixels = rasterImage.load_argb_64_pixels(rasterImage.bounds)

	count = 0
	for pixel in pixels:
		# Note that all color components including alpha are represented by 16-bit values, so their allowed values are in the range [0, 63535].
		alpha = (pixel >> 48) & 0xffff
		if alpha == 0:
			count += 1

	print(f"The number of fully transparent pixels is {count}")
	print(f"The total number of pixels is {image.width * image.height}")

The following example shows how to load and process pixels of a raster image. For example, consider a problem of counting of fully transparent pixels of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage

with Image.load("alpha.png") as image:
	rasterImage = as_of(image, RasterImage)
	# Load pixels for the whole image. Any rectangular part of the image can be specified as a parameter of the aspose.imaging.RasterImage.load_pixels method.
	pixels = rasterImage.load_pixels(rasterImage.bounds)

	count = 0
	for pixel in pixels:
		if pixel.a == 0:
			count += 1

	print(f"The number of fully transparent pixels is {count}")
	print(f"The total number of pixels is {image.width * image.height}")

The following example fills the central area of a raster image with black pixels using the aspose.imaging.RasterImage.save_argb_32_pixels method.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Rectangle, Color
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# The black square
	pixel_count = ((rasterImage.width // 2) * (rasterImage.height // 2))
	black_color = Color.black.to_argb()
	pixels = [black_color] * pixel_count

	# Draw the black square at the center of the image.
	area = Rectangle(rasterImage.width // 4, rasterImage.height // 4, rasterImage.width // 2, rasterImage.height // 2)
	rasterImage.save_argb_32_pixels(area, pixels)

	rasterImage.save(join_path(directory, "sample.SaveArgb32Pixels.png"))

The following example fills the central area of a raster image with black pixels using the aspose.imaging.RasterImage.save_pixels method.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Rectangle, Color
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# The black square
	pixel_count = ((rasterImage.width // 2) * (rasterImage.height // 2))
	black_color = Color.black
	pixels = [black_color] * pixel_count

	# Draw the black square at the center of the image.
	area = Rectangle(rasterImage.width // 4, rasterImage.height // 4, rasterImage.width // 2, rasterImage.height // 2)
	rasterImage.save_pixels(area, pixels)

	rasterImage.save(join_path(directory, "sample.SavePixels.png"))

The following example fills the central area of a raster image with black pixels using the aspose.imaging.RasterImage.save_cmyk_32_pixels method.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Rectangle, Color, CmykColorHelper
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Get an integer representation of black in the CMYK color space.
	blackCmyk = CmykColorHelper.to_cmyk(Color.black)
	# The black square.
	pixel_count = (rasterImage.width // 2) * (rasterImage.height // 2)
	pixels = [blackCmyk] * pixel_count
	# Draw the black square at the center of the image.
	area = Rectangle(rasterImage.width // 4, rasterImage.height // 4, rasterImage.width // 2, rasterImage.height // 2)
	rasterImage.save_cmyk_32_pixels(area, pixels)

	rasterImage.save(join_path(directory, "sample.SaveCmyk32Pixels.png"))

The following example crops a raster image. The cropping area is be specified via aspose.imaging.Rectangle.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Rectangle
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Crop the image. The cropping area is the rectangular central area of the image.
	area = Rectangle(rasterImage.width // 4, rasterImage.height // 4, rasterImage.width // 2, rasterImage.height // 2)
	rasterImage.crop(area)
	# Save the cropped image to PNG
	rasterImage.save(join_path(directory, "sample.Crop.png"))

The following example crops a raster image. The cropping area is specified via Left, Top, Right, Bottom margins.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, Rectangle, Color
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Crop again. Set a margin of 10% of the image size.
	horizontalMargin = rasterImage.width // 10
	verticalMargin = rasterImage.height // 10
	rasterImage.crop(horizontalMargin, horizontalMargin, verticalMargin, verticalMargin)
	# Save the cropped image to PNG.
	rasterImage.save(join_path(directory, "sample.Crop.png"))

The following example binarizes a raster image with the predefined threshold. Binarized images contain only 2 colors - black and white.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Binarize the image with a threshold value of 127.
	# If a corresponding gray value of a pixel is greater than 127, a value of 255 will be assigned to it, 0 otherwise.
	rasterImage.binarize_fixed(127)
	rasterImage.save(join_path(directory, "sample.BinarizeFixed.png"))

The following example binarizes a raster image with Bradley’s adaptive thresholding algorithm with the specified window size. Binarized images contain only 2 colors - black and white.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Binarize the image with a brightness difference of 5. The brightness is a difference between a pixel and the average of an 10 x 10 window of pixels centered around this pixel.
	rasterImage.binarize_bradley(5, 10)
	rasterImage.save(join_path(directory, "sample.BinarizeBradley5_10x10.png"))

The following example performs gamma-correction of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Set gamma coefficient for red, green and blue channels.
	rasterImage.adjust_gamma(2.5f)
	rasterImage.save(join_path(directory, "sample.AdjustGamma.png"))

The following example performs gamma-correction of an image applying different coefficients for color components.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Set gamma coefficient for red, green and blue channels.
	rasterImage.adjust_gamma(1.5f, 2.5f, 3.5f)
	rasterImage.save(join_path(directory, "sample.AdjustGamma.png"))

The following example performs brightness correction of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Set the brightness value. The accepted values of brightness are in the range [-255, 255].
	rasterImage.adjust_brightness(50)
	rasterImage.save(join_path(directory, "sample.AdjustBrightness.png"))

The following example performs contrast correction of an image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Set the contrast value. The accepted values of contrast are in the range [-100f, 100f].
	rasterImage.adjust_contrast(50)
	rasterImage.save(join_path(directory, "sample.AdjustContrast.png"))

The following example applies various types of filters to a raster image.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from aspose.imaging.imagefilters.filteroptions import *
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a median filter with a rectangle size of 5 to the entire image.
	rasterImage.filter(rasterImage.bounds, MedianFilterOptions(5))
	rasterImage.save(join_path(directory, "sample.MedianFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
	rasterImage.filter(rasterImage.bounds, BilateralSmoothingFilterOptions(5))
	rasterImage.save(join_path(directory, "sample.BilateralSmoothingFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, GaussianBlurFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.GaussianBlurFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, GaussWienerFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.GaussWienerFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a motion wiener filter with a length of 5, a smooth value of 4.0 and an angle of 90.0 degrees to the entire image.
	rasterImage.filter(rasterImage.bounds, MotionWienerFilterOptions(10, 1.0, 90.0))
	rasterImage.save(join_path(directory, "sample.MotionWienerFilter.png"))
}

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, SharpenFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.SharpenFilter.png"))

This example loads a raster image and resizes it using various resizing methods.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, ResizeType
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.gif")) as image:
	rasterImage = as_of(image, RasterImage)
	# Scale up by 2 times using Nearest Neighbour resampling.
	rasterImage.resize(image.width * 2, image.height * 2, ResizeType.NEAREST_NEIGHBOUR_RESAMPLE)
	image.save(join_path(directory, "upsample.nearestneighbour.gif"))

with Image.load(join_path(directory, "sample.gif")) as image:
	rasterImage = as_of(image, RasterImage)
	# Scale down by 2 times using Nearest Neighbour resampling.
	rasterImage.resize(image.width // 2, image.height // 2, ResizeType.NEAREST_NEIGHBOUR_RESAMPLE);
	image.Save(dir + "downsample.nearestneighbour.gif");

with Image.load(join_path(directory, "sample.gif")) as image:
	rasterImage = as_of(image, RasterImage)
	# Scale up by 2 times using Bilinear resampling.
	rasterImage.resize(image.width * 2, image.height * 2, ResizeType.BILINEAR_RESAMPLE)
	image.save(join_path(directory, "upsample.bilinear.gif"))

with Image.load(join_path(directory, "sample.gif")) as image:
	rasterImage = as_of(image, RasterImage)
	# Scale down by 2 times using Bilinear resampling.
	rasterImage.resize(image.width // 2, image.height // 2, ResizeType.BILINEAR_RESAMPLE)
	image.Save(dir + "downsample.bilinear.gif");

This example loads a raster image and resizes it using various resizing settings.

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage, ImageResizeSettings, ResizeType,\
	ImageFilterType, ColorQuantizationMethod, ColorCompareMethod
from os.path import join as join_path

directory = r"c:\temp"

resizeSettings = ImageResizeSettings()
# The adaptive algorithm based on weighted and blended rational function and lanczos3 interpolation.
resizeSettings.mode = ResizeType.ADAPTIVE_RESAMPLE
# The small rectangular filter
resizeSettings.filter_type = ImageFilterType.SMALL_RECTANGULAR
# The number of colors in the palette.
resizeSettings.entries_count = 256
# The color quantization is not used
resizeSettings.color_quantization_method = ColorQuantizationMethod.NONE
# The euclidian method
resizeSettings.color_compare_method = ColorCompareMethod.EUCLIDIAN

with Image.load(join_path(directory, "sample.gif")) as image:
	rasterImage = as_of(image, RasterImage)
	# Scale down by 2 times using adaptive resampling.
	rasterImage.resize(image.width // 2, image.height // 2, resizeSettings)
	image.save(join_path(directory, "downsample.adaptive.gif"))

The following example shows how to extract information about raw data format and alpha channel from a BMP image.

from aspose.imaging.fileformats.bmp import BmpImage

# Create a 32-bpp BMP image of 100 x 100 px.
with BmpImage(100, 100, 32, None) as bmp_image:
	print("FileFormat={0}, RawDataFormat={1}, HasAlpha={2}".format(bmp_image.file_format.name, bmp_image.raw_data_format, bmp_image.has_alpha))


# Create a 24-bpp BMP image of 100 x 100 px.
with BmpImage(100, 100, 24, None) as bmp_image:
	print("FileFormat={0}, RawDataFormat={1}, HasAlpha={2}".format(bmp_image.file_format.name, bmp_image.raw_data_format, bmp_image.has_alpha))

# Generally, BMP doesn't support alpha channel so the output will look like this:
# FileFormat = BMP, RawDataFormat = Rgb32Bpp, used channels: 8,8,8,8, HasAlpha = False
# FileFormat = BMP, RawDataFormat = Rgb24Bpp, used channels: 8,8,8, HasAlpha = False