Abstract: In an example, a method comprises: for each of a plurality of areas of a target image, determining a color vector representing that area, wherein the color vector is defined in a color space. The method may further comprise producing a color histogram of the target image by associating each area of the target image with a histogram bin representing a particular color, based on the determined color vector of the area; defining a color represented by a histogram bin associated with a highest number of image areas as a dominant color of the target image; and applying a correction to a print version of the target image for an area that is intended to have the dominant color.

Abstract: A method comprising determining a recipe vector of a recipe to a printing device, wherein the recipe is representative of a spot color in an input image, the recipe vector being based on one or more recipe color properties of the recipe, and determining a pixel vector of a pixel of an output of a printing device based on one or more pixel color properties of the pixel, wherein the pixel vector is representative of a spot color in an output of a printing device. The method also comprises comparing the recipe vector and pixel vector to determine a difference between the recipe and pixel and adjusting one or more pixel color properties of the pixel when the difference is below a predetermined threshold, to reduce the difference so as to substantially reproduce the spot color of the input image in the output of the printing device. The adjusted pixel color properties are then provided to the printing device.

Abstract: A method is described in which a length of an image is compared with a threshold associated to a print device. The image is subdivided into a sequence of print frames. Each print frame has length equal to or less than the threshold. A stitching operation is performed on at least two consecutive print frames. The print device is controlled to sequentially print the at least two stitched consecutive print frames.

Abstract: A method is described in which a length of an image is compared with a threshold associated to a print device. The image is subdivided into a sequence of print frames. Each print frame has length equal to or less than the threshold. A stitching operation is performed on at least two consecutive print Compare a length of an image with a threshold frames. The print device is controlled to sequentially print the at least two stitched consecutive print frames.

Abstract: A method comprising determining a recipe vector of a recipe to a printing device, wherein the recipe is representative of a spot color in an input image, the recipe vector being based on one or more recipe color properties of the recipe, and determining a pixel vector of a pixel of an output of a printing device based on one or more pixel color properties of the pixel, wherein the pixel vector is representative of a spot color in an output of a printing device. The method also comprises comparing the recipe vector and pixel vector to determine a difference between the recipe and pixel and adjusting one or more pixel color properties of the pixel when the difference is below a predetermined threshold, to reduce the difference so as to substantially reproduce the spot color of the input image in the output of the printing device. The adjusted pixel color properties are then provided to the printing device.

Abstract: In an example, an apparatus comprising an image processor is configured to perform edge detection on the image to detect a plurality of edges, automatically identify a path across the image based on the detected plurality of edges, divide the image into two adjacent sub-images based on the determined path, and generate first and second print data to cause the printing device to print the two adjacent sub-images.

Abstract: In an example, a method includes rasterizing a seed image using a processor. A plurality of rasterized modified images may be generated from the rasterized seed image. Generating each rasterized modified image may include determining an image attribute modification and applying the determined image attribute modification to at least a portion of the rasterized seed image to generate the rasterized modified image.

Abstract: In an example, a method includes rasterizing a seed image using a processor. A plurality of rasterized modified images may be generated from the rasterized seed image. Generating each rasterized modified image may include determining an image attribute modification and applying the determined image attribute modification to at least a portion of the rasterized seed image to generate the rasterized modified image.

Abstract: In some examples, a system selects a spanning region of an image spanning an intersection between adjacent sub-images that partition the image. The spanning region is divided based on a non-linear path that is determined on the basis of a user input, resulting in respective modified adjacent sub-images. Print data to cause a printing device to print the respective modified adjacent sub-images is generated on the basis of the dividing.

Abstract: A method is described in which a length of an image is compared with a threshold associated to a print device. The image is subdivided into a sequence of print frames. Each print frame has length equal to or less than the threshold. A stitching operation is performed on at least two consecutive print Compare a length of an image with a threshold frames. The print device is controlled to sequentially print the at least two stitched consecutive print frames.

Abstract: In some examples, a system selects a spanning region of an image spanning an intersection between adjacent sub-images that partition the image. The spanning region is divided based on a non-linear path that is determined on the basis of a user input, resulting in respective modified adjacent sub-images. Print data to cause a printing device to print the respective modified adjacent sub-images is generated on the basis of the dividing.

Abstract: A method and apparatus for generating print data are described herein. An apparatus comprising an image processor (110) is configured to select a region of an image spanning an intersection between at least two adjacent sub-images that partition the image. The spanning region is divided based on a non-linear path that is determined on the basis of a user input, resulting in at least two modified adjacent sub-images. Print data operable to cause a printing device (150) to print the respective modified adjacent sub-images are generated on the basis of the dividing.

Abstract: Example implementations provide a method of processing data associated with printing a plurality of separations; the method comprising creating, from the data associated with the plurality of separations, complementary separation layer data associated with the complement of data relating to an opaque separation of the plurality of separations.

Abstract: In an example, an apparatus comprising an image processor is configured to perform edge detection on the image to detect a plurality of edges, automatically identify a path across the image based on the detected plurality of edges, divide the image into two adjacent sub-images based on the determined path, and generate first and second print data to cause the printing device to print the two adjacent sub-images.

Abstract: In an example, a method includes rasterizing a seed image using a processor. A plurality of rasterized modified images may be generated from the rasterized seed image. Generating each rasterized modified image may include determining an image attribute modification and applying the determined image attribute modification to at least a portion of the rasterized seed image to generate the rasterized modified image.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: A method and apparatus for generating print data are described herein. An apparatus comprising an image processor (110) is configured to select a region of an image spanning an intersection between at least two adjacent sub-images that partition the image. The spanning region is divided based on a non-linear path that is determined on the basis of a user input, resulting in at least two modified adjacent sub-images. Print data operable to cause a printing device (150) to print the respective modified adjacent sub-images are generated on the basis of the dividing.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: Example implementations provide a method of processing data associated with printing a plurality of separations; the method comprising creating, from the data associated with the plurality of separations, complementary separation layer data associated with the complement of data relating to an opaque separation of the plurality of separations.