Abstract: In some examples, in a component space defined by a plurality of edges, a system defines a first point on a first edge of the plurality of edges, the first point dividing the first edge into a first portion in which a first component is to be used in producing an output by an output device, and a second portion in which the first component is not used in producing an output by the output device, where a first space inside the component space corresponding to the first portion is to use the first component in producing an output by the output device, and a second space inside the component space corresponding to the second portion is to not use the first component in producing an output by the output device.

Abstract: Methods of image compression are described. A stream of color image data is filtered with a prediction routine using a pixel neighborhood. The filtered stream of color image data is sorted with a block sorting routing. A version of the color image data is compressed based on the sorted and filtered stream of color image data.

Abstract: Image data mapping is described in which a patch image with patch image parameters including a patch image identifier relating to the patch image is generated; the production of the patch image on a recorded medium in a first printing environment is initiated; the produced patch image with the patch image parameters to determine patch image data of the produced patch image is analysed; and the patch image data is mapped to the patch image identifier to generate an information resource.

Abstract: Disclosed herein is a method, in particular for interpolating and smoothening the gamut boundary of an image processing device. Color data are received. An initial surface corresponding to the color data in a color space is created and divided into first patches. A first one of the first patches is divided into second patches based on a topology of a second one of the first patches. Further disclosed are a corresponding machine-readable medium and a corresponding system comprising a storage device and a computing device.

Abstract: Methods of image compression are described. A stream of color image data is filtered with a prediction routine using a pixel neighborhood. The filtered stream of color image data is sorted with a block sorting routing. A version of the color image data is compressed based on the sorted and filtered stream of color image data.

Abstract: In one example of the disclosure, a print job with instructions for printing an image at a resolution is obtained. A display of the image, at the resolution, at a display device is caused. A first reference and a second reference are indicated within the displayed image. A quantity of pixels between the first and second references is determined. An indication of a real distance between the first and second references is received. A desired scale for the image is obtained. A rescale factor for the image is determined based on the resolution, the determined pixel quantity, the real distance, and the desired scale.

Abstract: A computer implemented method of analyzing the content of a digital image, for example a page to be printed, computes a boundary enclosing all the non-white content of the image. The image within the boundary is then divided into regions based on a predetermined division rule. For each region the number of unique colors and the proportion of non-white pixels are computed. The image is then categorized according to the result of those computations. The categorization can be used to automatically set print settings according to the content of the image.

Abstract: A color look-up-table (LUT) is created for use by an imaging system which uses a resource to display an image and/or provides an attribute of the image. A method of creating the LUT, comprises selecting a threshold value of resource usage and/or metric of the attribute. A predetermined color look-up-table representing a mapping from color values of a first color gamut to color values displayable by the imaging system is accessed. The predetermined color look-up-table has nodes defining colors to be displayed for the said color values. Resource usage and/or attribute values associated with the said nodes are compared with the threshold value thereby determining the set of nodes of the predetermined gamut having a resource usage and/or attribute values less than the threshold value. A new look-up-table is created which maps the said predetermined color gamut look-up-table to the said set of nodes.

Abstract: A color look-up-table (LUT) is created for use by an imaging system which uses a resource to display an image and/or provides an attribute of the image. A method of creating the LUT, comprises selecting a threshold value of resource usage and/or metric of the attribute. A predetermined color look-up-table representing a mapping from color values of a first color gamut to color values displayable by the imaging system is accessed. The predetermined color look-up-table has nodes defining colors to be displayed for the said color values. Resource usage and/or attribute values associated with the said nodes are compared with the threshold value thereby determining the set of nodes of the predetermined gamut having a resource usage and/or attribute values less than the threshold value.

Abstract: A color look-up-table (LUT) is created for use by an imaging system which uses a resource to display an image and/or provides an attribute of the image. A method of creating the LUT, comprises selecting (S1) a threshold value of resource usage and/or metric of the attribute. A predetermined color look-up-table representing a mapping from color values of a first color gamut to color values displayable by the imaging system is accessed. The predetermined color look-up-table has nodes defining colors to be displayed for the said color values. Resource usage and/or attribute values associated with the said nodes are compared with the threshold value thereby determining the set of nodes of the predetermined gamut having a resource usage and/or attribute values less than the threshold value (S2a, S2b, S3, S4). A new look-up-table is created (S5) which maps the said predetermined color gamut look-up-table to the said set of nodes.

Abstract: A computer implemented method of analysing the content of a digital image, for example a page to be printed, computes a boundary enclosing all the non-white content of the image. The image within the boundary is then divided into regions based on a predetermined division rule. For each region the number of unique colours and the proportion of non-white pixels are computed. The image is then categorised according to the result of those computations. The categorisation can be used to automatically set print settings according to the content of the image.

Abstract: A color look-up-table (LUT) is created for use by an imaging system which uses a resource to display an image and/or provides an attribute of the image. A method of creating the LUT, comprises selecting (S1) a threshold value of resource usage and/or metric of the attribute. A predetermined color look-up-table representing a mapping from color values of a first color gamut to color values displayable by the imaging system is accessed. The predetermined color look-up-table has nodes defining colors to be displayed for the said color values. Resource usage and/or attribute values associated with the said nodes are compared with the threshold value thereby determining the set of nodes of the predetermined gamut having a resource usage and/or attribute values less than the threshold value (S2a, S2b, S3, S4). A new look-up-table is created (S5) which maps the said predetermined color gamut look-up-table to the said set of nodes.