DjvuImage Class

Summary: DjVu document class supports graphics file format and facilitates seamless
management of scanned documents and books, integrating text, drawings, images,
and photos into a single format. Supporting multi-page operations, you can
efficiently access unique document identifiers, count pages, set active pages,
and retrieve specific document pages. With features for resizing, rotating,
dithering, cropping, grayscale transformation, gamma corrections, adjustments,
and filters application, this class empowers precise manipulation and enhancement
of DjVu images to meet diverse application needs with ease and precision.

Module: aspose.imaging.fileformats.djvu

Full Name: aspose.imaging.fileformats.djvu.DjvuImage

Inheritance: IObjectWithBounds, IRasterImageArgb32PixelLoader, IRasterImageRawDataLoader, IMultipageImage, RasterCachedMultipageImage

Aspose.Imaging Version: 24.5.0

Constructors

Name	Description
DjvuImage(stream)	Start working with DjVu images by initializing a new instance of the DjvuImage class using a Stream parameter. Perfect for developers who want seamless integration of DjVu image processing into their projects.
DjvuImage(stream, load_options)	Start working with DjVu images seamlessly with this constructor, which initializes a new DjvuImage class instance using a Stream and LoadOptions parameters. Perfect for developers who want precise control over DjVu image loading options while maintaining simplicity and efficiency.

Properties

Name	Type	Access	Description
active_page	DjvuPage	r/w	Navigate through your DjVu document by accessing or setting the currently active page using this property. Seamlessly switch between pages to focus on specific content and enhance your document viewing experience.
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 object 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.
djvu_pages	DjvuPage[]	r	Quickly retrieve all the pages contained within your DjVu document using this property. Simplify your document processing workflow by easily accessing and managing individual pages within your DjVu files. Improve efficiency and streamline your tasks with convenient page retrieval.
file_format	FileFormat	r	Obtain the file format information associated with your DjVu image file. Quickly determine the format of your file for seamless integration into your workflow.
first_page	DjvuPage	r	Access the first page of your DjVu document with this property. Quickly retrieve the initial page to begin viewing or processing your document efficiently.
has_alpha	bool	r	Quickly determine whether your DjVu image file contains an alpha channel. Simplify your workflow by checking for the presence of transparency information in your images.
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.
identifier	int	r	Gets the unique identifier for the document
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 image data is cached currently.
is_raw_data_available	bool	r	Gets a value indicating whether raw data loading is supported.
last_page	DjvuPage	r	Retrieve the last page of your DjVu document using this property. Quickly access the final page for viewing or processing purposes with ease.
next_page	DjvuPage	r	Navigate through your DjVu document by accessing the next page with this convenient property. Quickly move forward in your document viewing or processing tasks.
page_count	int	r	Retrieve the total number of pages in your DjVu image collection with this property. Ideal for quickly assessing the extent of your document or book stored in DjVu format. Improve your workflow efficiency with accurate page count information.
pages	Image[]	r	Access the individual pages of your DjVu image collection with this property. Simplify navigation and manipulation of your document or book stored in DjVu format by accessing each page directly. Improve your workflow efficiency with easy page retrieval.
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.
previous_page	DjvuPage	r	Quickly move backward in your DjVu document viewing or processing tasks by accessing the previous page with this convenient property. Efficiently navigate through your document with ease.
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 object 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 XMP data from frame.

Methods

Name	Description
adjust_brightness(brightness)	Adjust the brightness of an image using a specified parameter, providing control over luminance levels for optimal visual clarity. This method enhances or diminishes the overall brightness of the image, allowing for fine adjustments to achieve desired lighting effects. By modulating brightness, users can optimize image visibility and enhance detail reproduction for improved viewing experience.
adjust_contrast(contrast)	Enhance Image contrast to improve visual clarity and highlight details with this method, which adjusts the difference in brightness between light and dark areas. By fine-tuning contrast levels, users can achieve more vivid and impactful images, enhancing overall image quality and maximizing detail visibility. This adjustment helps to bring out subtle nuances in color and texture, resulting in more dynamic and visually appealing images.
adjust_gamma(gamma)	Gamma correction, specifically for the red, green, and blue channels, involves adjusting the brightness of each color component separately. By applying different gamma coefficients to the RGB channels, you can fine-tune the overall brightness and contrast of an image. This technique ensures accurate color representation and improves the visual quality of the image across different display devices.
adjust_gamma(gamma_red, gamma_green, gamma_blue)	Gamma correction is applied to an image with customizable parameters for the red, green, and blue channels, allowing precise adjustment of color balance and brightness. This method enhances image quality by fine-tuning color representation, ensuring optimal rendering across different display devices. Adjusting gamma values for individual channels improves color balance and visual appeal.
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 using Bradley’s adaptive thresholding algorithm with integral image thresholding is a method that calculates a local threshold for each pixel based on a local neighborhood. It adapts to variations in illumination across the image, making it suitable for images with uneven lighting conditions. By computing the threshold using integral images, it efficiently handles large neighborhoods, making it applicable to real-time applications. This technique is commonly used in document processing, OCR (Optical Character Recognition), and image segmentation tasks where accurate binarization is essential for subsequent analysis.
binarize_fixed(threshold)	Binarization with a predefined threshold simplifies complex images into binary representations, where pixels are categorized as either black or white based on their intensity compared to a specified threshold value. This technique is commonly used in image processing to enhance clarity, simplify analysis, and prepare images for further processing steps such as optical character recognition (OCR). By applying a fixed threshold, you can quickly transform grayscale images into binary form, making them easier to interpret and extract meaningful information from.
binarize_otsu()	Binarization using Otsu thresholding is a technique that automatically calculates an optimal threshold value based on the image’s histogram. It separates the image into foreground and background by minimizing the intra-class variance. Otsu’s method is widely used for segmenting images into binary form, particularly when the distribution of pixel intensities is bimodal or multimodal. This approach is beneficial for tasks such as object detection, image segmentation, and feature extraction, where accurate delineation between foreground and background is crucial.
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()	Cache the data privately to optimize performance and reduce the need for repeated data retrieval from external sources. This approach also helps conserve resources, particularly in scenarios where data access is frequent or resources are limited.
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(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.
crop(left_shift, right_shift, top_shift, bottom_shift)	Crop with shifts allows you to precisely adjust the position and dimensions of the cropped area within an image. This feature is invaluable for refining compositions, aligning elements, and emphasizing focal points in your visuals. By incorporating shifts into the cropping process, you can achieve pixel-perfect precision and fine-tune the framing of your images with ease.
crop(rectangle)	“Crop” trims your image to focus on specific details or remove unwanted elements, enhancing its composition and visual impact. Whether you’re adjusting photos for social media, creating website banners, or designing print materials, this tool helps you refine your images with precision and clarity.
dither(dithering_method, bits_count)	Performs dithering on the current image.
dither(dithering_method, bits_count, custom_palette)	The “Dither” function applies a dithering effect to your image, enhancing its visual quality by reducing banding and improving color transitions. Whether you’re working on digital art, photography, or graphic design projects, this feature adds a professional touch to your images, making them appear smoother and more refined.
filter(rectangle, options)	Apply filters to a specified rectangular area within the image to enhance or modify its appearance. By targeting specific regions, this method allows for precise adjustments, such as blurring, sharpening, or applying artistic effects, to achieve desired visual outcomes. Fine-tuning filters on selected areas empowers users to customize image aesthetics, improve clarity, and create artistic effects tailored to their preferences.
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()	Grayscale transformation converts an image to a black-and-white representation, where each pixel’s intensity is represented by a single value ranging from black to white. This process removes color information, resulting in a monochromatic image. Grayscale images are commonly used in applications where color is unnecessary or where simplicity is preferred, such as document scanning, printing, and certain types of image analysis.
load(file_path)	Loads a new image from the specified file.
load(file_path, load_options)	Loads a new image from the specified file.
load(stream)	Load your DjVu document with this method. Streamline your process by quickly accessing and importing your DjVu files into your application.
load(stream, load_options)	Import your DjVu document by utilizing this method with stream and loadOptions parameters. Streamline your process by quickly accessing and importing DjVu files into your application, providing flexibility and customization options to meet your needs.
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_document(stream)	Load your DjVu document with this method. Streamline your process by quickly accessing and importing your DjVu files into your application.
load_document(stream, load_options)	Import your DjVu document by utilizing this method with stream and loadOptions parameters. Streamline your process by quickly accessing and importing DjVu files into your application, providing flexibility and customization options to meet your needs.
load_partial_argb_32_pixels(rectangle, partial_pixel_loader)	Loads 32-bit ARGB pixels partially (by blocks).
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.
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 RasterCachedMultipageImage.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.
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.
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)	The ResizeHeightProportionally method allows you to adjust the height of your image while preserving its aspect ratio. This ensures that your image maintains its proportions, preventing distortion and preserving its visual integrity. Whether you’re optimizing images for web pages, mobile apps, or print media, this method ensures that your images look their best across different platforms and devices.
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)	The ResizeWidthProportionally method offers a convenient solution to adjust the width of your image while maintaining its aspect ratio. By proportionally resizing the width, you can ensure that your images remain visually appealing and consistent across different devices and screen sizes, enhancing their versatility and usability in various contexts.
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 the image around its center with the Rotate method of the RasterCachedMultipageImage class. This convenient feature allows you to easily adjust the orientation of images while maintaining their center position, enhancing your image manipulation capabilities.
rotate_flip(rotate_flip_type)	The RotateFlip method offers versatile manipulation options for your image, allowing you to rotate, flip, or perform both operations on the active frame independently. Whether you’re editing photos, creating graphics, or enhancing digital art, this method provides precise control over the orientation and composition of your images, ensuring they meet your creative vision with ease and efficiency.
rotate_flip_all(rotate_flip)	Rotates the flip all.
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 data.
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 pixels (format specific method).
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.

Constructor: DjvuImage(stream)

 DjvuImage(stream) 

Start working with DjVu images by initializing a new instance of the
DjvuImage class using a Stream parameter. Perfect for
developers who want seamless integration of DjVu image processing into
their projects.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream.

Constructor: DjvuImage(stream, load_options)

 DjvuImage(stream, load_options) 

Start working with DjVu images seamlessly with this constructor, which
initializes a new DjvuImage class instance using a Stream and
LoadOptions parameters. Perfect for developers who want precise control over
DjVu image loading options while maintaining simplicity and efficiency.

Parameters:

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

Method: adjust_brightness(brightness)

 adjust_brightness(brightness) 

Adjust the brightness of an image using a specified parameter,
providing control over luminance levels for optimal visual clarity. This method enhances
or diminishes the overall brightness of the image, allowing for fine adjustments to
achieve desired lighting effects. By modulating brightness, users can optimize image
visibility and enhance detail reproduction for improved viewing experience.

Parameters:

Parameter	Type	Description
brightness	int	Brightness value.

Method: adjust_contrast(contrast)

 adjust_contrast(contrast) 

Enhance Image contrast to improve visual clarity and
highlight details with this method, which adjusts the difference in brightness between
light and dark areas. By fine-tuning contrast levels, users can achieve more vivid and
impactful images, enhancing overall image quality and maximizing detail visibility.
This adjustment helps to bring out subtle nuances in color and texture, resulting in
more dynamic and visually appealing images.

Parameters:

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

Method: adjust_gamma(gamma)

 adjust_gamma(gamma) 

Gamma correction, specifically for the red, green, and blue channels, involves adjusting
the brightness of each color component separately. By applying different gamma
coefficients to the RGB channels, you can fine-tune the overall brightness and contrast
of an image. This technique ensures accurate color representation and improves the
visual quality of the image across different display devices.

Parameters:

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

Method: adjust_gamma(gamma_red, gamma_green, gamma_blue)

 adjust_gamma(gamma_red, gamma_green, gamma_blue) 

Gamma correction is applied to an image with customizable parameters for the red, green,
and blue channels, allowing precise adjustment of color balance and brightness. This
method enhances image quality by fine-tuning color representation, ensuring optimal
rendering across different display devices. Adjusting gamma values for individual
channels improves color balance and visual appeal.

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

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 using Bradley’s adaptive thresholding algorithm with integral image
thresholding is a method that calculates a local threshold for each pixel based on a
local neighborhood. It adapts to variations in illumination across the image, making it
suitable for images with uneven lighting conditions. By computing the threshold using
integral images, it efficiently handles large neighborhoods, making it applicable to
real-time applications. This technique is commonly used in document processing, OCR
(Optical Character Recognition), and image segmentation tasks where accurate
binarization is essential for subsequent analysis.

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

Method: binarize_fixed(threshold)

 binarize_fixed(threshold) 

Binarization with a predefined threshold simplifies complex images into binary
representations, where pixels are categorized as either black or white based on their
intensity compared to a specified threshold value. This technique is commonly used in
image processing to enhance clarity, simplify analysis, and prepare images for further
processing steps such as optical character recognition (OCR). By applying a fixed
threshold, you can quickly transform grayscale images into binary form, making them
easier to interpret and extract meaningful information from.

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.

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

 crop(left_shift, right_shift, top_shift, bottom_shift) 

Crop with shifts allows you to precisely adjust the position and dimensions of the
cropped area within an image. This feature is invaluable for refining compositions,
aligning elements, and emphasizing focal points in your visuals. By incorporating shifts
into the cropping process, you can achieve pixel-perfect precision and fine-tune the
framing of your images with ease.

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.

Method: crop(rectangle)

 crop(rectangle) 

“Crop” trims your image to focus on specific details or remove unwanted elements,
enhancing its composition and visual impact. Whether you’re adjusting photos for social
media, creating website banners, or designing print materials, this tool helps you
refine your images with precision and clarity.

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle.

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.

Method: dither(dithering_method, bits_count, custom_palette)

 dither(dithering_method, bits_count, custom_palette) 

The “Dither” function applies a dithering effect to your image, enhancing its visual
quality by reducing banding and improving color transitions. Whether you’re working
on digital art, photography, or graphic design projects, this feature adds a
professional touch to your images, making them appear smoother and more refined.

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) 

Apply filters to a specified rectangular area within the image to enhance or modify its
appearance. By targeting specific regions, this method allows for precise adjustments,
such as blurring, sharpening, or applying artistic effects, to achieve desired visual
outcomes. Fine-tuning filters on selected areas empowers users to customize image
aesthetics, improve clarity, and create artistic effects tailored to their preferences.

Parameters:

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

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.

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.

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.

Parameters:

Parameter	Type	Description
file_path	string	The file path 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.

Parameters:

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

Returns

Type	Description
Image	The loaded image.

Method: load(stream) [static]

 load(stream) 

Load your DjVu document with this method. Streamline your process by quickly
accessing and importing your DjVu files into your application.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream.

Returns

Type	Description
Image	Loaded djvu document

Method: load(stream, load_options) [static]

 load(stream, load_options) 

Import your DjVu document by utilizing this method with stream and loadOptions
parameters. Streamline your process by quickly accessing and importing DjVu files
into your application, providing flexibility and customization options to meet
your needs.

Parameters:

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

Returns

Type	Description
Image	Loaded djvu document

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.

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.

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_document(stream) [static]

 load_document(stream) 

Load your DjVu document with this method. Streamline your process by quickly
accessing and importing your DjVu files into your application.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream.

Returns

Type	Description
DjvuImage	Loaded djvu document

Method: load_document(stream, load_options) [static]

 load_document(stream, load_options) 

Import your DjVu document by utilizing this method with stream and loadOptions
parameters. Streamline your process by quickly accessing and importing DjVu files
into your application, providing flexibility and customization options to meet
your needs.

Parameters:

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

Returns

Type	Description
DjvuImage	Loaded djvu document

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 blocks).

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to load pixels from.
partial_pixel_loader	IPartialArgb32PixelLoader	The partial 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.

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.

Parameters:

Parameter	Type	Description
file_path	string	The file path 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 RasterCachedMultipageImage.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_diff	byte	Allowed difference in old color to be able to widen replaced color tone.
new_color	Color

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

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.

Method: resize(new_width, new_height, settings)

 resize(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_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) 

The ResizeHeightProportionally method allows you to adjust the height of your
image while preserving its aspect ratio. This ensures that your image maintains
its proportions, preventing distortion and preserving its visual integrity.
Whether you’re optimizing images for web pages, mobile apps, or print media, this
method ensures that your images look their best across different platforms and devices.

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) 

The ResizeWidthProportionally method offers a convenient solution to adjust the
width of your image while maintaining its aspect ratio. By proportionally resizing
the width, you can ensure that your images remain visually appealing and
consistent across different devices and screen sizes, enhancing their versatility
and usability in various contexts.

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 the image around its center with the Rotate method of the
RasterCachedMultipageImage class. This convenient feature allows you to easily
adjust the orientation of images while maintaining their center position,
enhancing your image manipulation capabilities.

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) 

The RotateFlip method offers versatile manipulation options for your image, allowing
you to rotate, flip, or perform both operations on the active frame independently.
Whether you’re editing photos, creating graphics, or enhancing digital art, this
method provides precise control over the orientation and composition of your images,
ensuring they meet your creative vision with ease and efficiency.

Parameters:

Parameter	Type	Description
rotate_flip_type	RotateFlipType	The rotate flip type.

Method: rotate_flip_all(rotate_flip)

 rotate_flip_all(rotate_flip) 

Rotates the flip all.

Parameters:

Parameter	Type	Description
rotate_flip	RotateFlipType	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 data.

Parameters:

Parameter	Type	Description
stream	_io.BufferedRandom	The stream to save 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.

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.

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 pixels (format specific method).

Parameters:

Parameter	Type	Description
rectangle	Rectangle	The rectangle to save pixels to.
pixels	Color[]	The 32-bit ARGB pixels array.

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.

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.

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.