An apparatus includes a reduction unit configured to perform color reduction processing for quantizing a color in the generated image data, a change unit configured to change, in a case where brightness of an edge pixel indicating an edge portion in an image based on the image data with the color quantized is equal to or higher than a threshold value, a pixel value of the edge pixel to a pixel value of a color of a pixel having highest brightness among pixels surrounding the edge pixel, and change, in a case where the brightness of the edge pixel is lower than the threshold value, the pixel value of the edge pixel to a pixel value of a color of a pixel having lowest brightness among the pixels surrounding the edge pixel.

An image processing is configured to convert a color of a first object into gray having first brightness and a color of a second object into gray having second brightness lower than the first brightness by a fixed value in response to receiving color data including the first object and the second object, and output gray data based on the first brightness of gray into which the color of the first object is converted and the second brightness of gray into which the color of the second object is converted.

A method includes obtaining a color transformation matrix that removes color distortion of an original color histogram of a target color space for an input image of an original color space; obtaining a color transformation image of the original color space from which color distortion of the input image is removed using the color transformation matrix; and obtaining a space transformation image with a minimum target loss value between an output vector of a neural network for one of candidate images and each of a plurality of candidate class vectors of the input image, the candidate images being spaced apart from the color transformation image of the original color space by a distance less than a threshold.

A color value prediction system includes a color-value predicting section configured to receive an input of information representing ink amounts of a first apparatus and output spectral reflectance, a receiving section configured to receive an input of information representing a designated color gamut, a preparing section configured to prepare first teacher information representing a plurality of sets of combinations of ink amounts of the first apparatus and second teacher information, which is a plurality of sets of spectral reflectance respectively associated with the plurality of sets of combinations of ink amounts of the first teacher information, and a generating section configured to generate the color-value predicting section with machine learning in which the first teacher information serving as an input value and the second teacher information serving as an output value are used as teacher data. The first teacher information includes designated teacher information representing a combination of ink amounts of the first apparatus representing a color included in the designated color gamut.

System and techniques for adaptive color transformation to aid computer vision are described herein. Colors from an image are mapped into a multi-dimensional space to create a distribution of colors in the image. A line can be fit to the distribution. Here, the line includes an angle relative to a coordinate system of the multi-dimensional space. A transformation to colors can then be applied to the image based on the angle of the line. The transformation producing a reduced image where a color complexity of the original image is reduced.

System and techniques for adaptive color transformation to aid computer vision are described herein. Colors from an image are mapped into a multi-dimensional space to create a distribution of colors in the image. A line can be fit to the distribution. Here, the line includes an angle relative to a coordinate system of the multi-dimensional space. A transformation to colors can then be applied to the image based on the angle of the line. The transformation producing a reduced image where a color complexity of the original image is reduced.

Certain examples relate to configuring a print processing system to produce rendered color outputs based on desired properties of said outputs using resources available to the print processing system. In these examples, print job data is received comprising image data and print property data. Color mapping data is configured to produce print mapping data based on at least the print property data. Print instructions for an image rendering device are generated based on the print mapping data. The print properties may be selectable by a user. Color mapping data may be characterized by color properties.

An image forming apparatus comprises an image forming unit; a sensor that measures a measurement image; and a controller. The controller controls the image forming condition based on a measurement result of measuring a first measurement image; acquires information having a correlation to density variation of images to be formed by the image forming unit; controls the image forming condition based on the information; determines a first value regarding a density of an image to be formed, based on a measurement result of measuring a second measurement image; determines a second value regarding a density of the image to be formed by the image forming unit, based on the information; and controls a timing at which the image forming unit next forms the first measurement image, based on the first value and the second value.

An image analyzer includes an in-use ink information determination section that determines an ink type to be used for printing and an ink quantity to be used for printing for the ink type as in-use ink information by using image data in accordance with conditions set in advance, a printed image quality information acquisition section that acquires at least one item of printed image quality information on image quality specified in advance and provided when the image data is printed by using the determined in-use ink information, and a display section that displays at least one of the in-use ink information and the printed image quality information.

Disclosed is a signal processing device and an image display apparatus including the same. The signal processing device includes: a linear tone mapper configured to perform linear tone mapping on a part of an input image; a non-linear tone mapper configured to perform non-linear tone mapping on another part of the input image; and a combiner configured to combine an output from the linear tone mapper and an output from the non-linear tone mapper. Accordingly, it is possible to map the dynamic range of an input image to a display.