An information processing apparatus extracts colors used for an image, links each color to one of color groups including a first color group and a second color group, displays, in a first region of a UI, a representative color associated with a group, of the color groups, to which extracted color is linked, displays a color palette including one color in a second region of the UI, and replaces a color included in the image and belonging to the color group associated with the selected representative color with a color selected from the color palette. If the color groups include groups to which at least one extracted color is linked, representative colors respectively associated with the groups to which at least one of the extracted colors is linked are displayed in the first region.

In some examples, a print cartridge includes a memory device comprising quantized coefficients derived from a lossy compression, at a selected step size, of a difference color table including a plurality of difference nodes in which each difference node represents a difference value that is a difference of a value of a node of a color table and a value of a corresponding node of a reference table, the quantized coefficients useable to produce a reconstructed difference color table including a first set of difference nodes each representing a difference value that is within an error threshold at the selected step size, and a second set of difference nodes each representing a difference value that is outside an error threshold at the selected step size. The memory device further comprises corrective information to correct the second set of difference nodes of the reconstructed difference color table.

An article of manufacture may include a matrix barcode on a physical medium and associated with an environment. The matrix barcode may include a plurality of colors, where at least one of the plurality of colors is a least prevalent color, of a plurality of prevalent colors in the environment.

Provided are a memory and a processor connected to the memory to execute a program stored in the memory. The processor classifies each of pixels included in an image into any one region of a region of achromatic color and a region of chromatic color inside a color space, uses the pixels classified into the region of achromatic color to extract a first predetermined number of representative colors, uses the pixels classified into the region of chromatic color to extract a second predetermined number of representative colors, and replaces each of the pixels included in the image with a pixel of a representative color having a smallest difference in pixel value from the pixels included in the image, among the first predetermined number of representative colors and the second predetermined number of representative colors, to generate a color-reduced image of the image.

The present disclosure includes systems and methods for color transfer. The method includes receiving a target image, and determining dominant source colors. The method further includes transforming the target image into a color model including a target luminance component and a target color information component. Additionally, the method includes segmenting the target image into a plurality of target segments based on the target color information component or the target luminance component and extracting dominant target colors from the target image by extracting information for at least one of the dominant target colors from each target segment of the plurality of target segments. Further, the method includes generating a color mapping relationship between the dominant target colors and the dominant source colors, and creating a recolored target image using the color mapping relationship.

Disclosed is a method for converting image data. The method includes: acquiring image data of a target image, wherein the image data includes first pixel values of m pixels in the target image, each of the first pixel values includes a first color value of at least one color channel, the first color value being within a target color value interval of the at least one color channel; dividing the target color value interval into n color value partitions; determining a color value partition where the first color value falls from the n color value partitions; and converting the first color value into a second color value according to a position of the first color value in the color value partition, the number of bits occupied by the second color value being less than the number of bits occupied by the first color value.

A universal color coding system, and method of analyzing objects with multiple attributes using the color coding system. The color coding system includes a color mapper arranged to map a plurality of colors with a plurality of numerical codes, wherein the each of the plurality of numerical codes is a unique integer determined based on a combination of prime numbers; wherein each of the plurality of numerical codes is arranged to represent a unique color in color space wherein each of the prime numbers represents a respective basic color of the color space; and wherein the plurality of numerical codes are integers calculated based on addition and multiplication of a plurality of prime numbers.

An article of manufacture may include a matrix barcode on a physical medium and associated with an environment. The matrix barcode may include a plurality of colors, where at least one of the plurality of colors is a least prevalent color, of a plurality of prevalent colors in the environment.

An example embodiment may involve obtaining (i) an a×b attribute macro-cell, and (ii) a×b pixel macro-cells for each of a luminance plane, a first color plane, and a second color plane of an input image. The a×b pixel macro-cells may each contain 4 non-overlapping m×n pixel cells. The example embodiment may also involve determining 4 attribute-plane output values that represent the 4 non-overlapping m×n attribute cells, 1 to 4 luminance-plane output values that represent the a×b pixel macro-cell of the luminance plane, a first color-plane output value to represent the a×b pixel macro-cell of the first color plane, and a second color-plane output value to represent the a×b pixel macro-cell of the second color plane. The example embodiment may further involve writing an interleaved representation of the output values to a computer-readable output medium.

Methods and systems are disclosed for quantizing images using machine-learning. A plurality of input images are received from a sensor (e.g., a camera), wherein each input image includes a plurality of pixels. Utilizing an image-to-image machine-learning model, each pixel is assigned a new pixel color. Utilizing a mixer machine-learning model, each new pixel color is converted to one of a fixed number of colors to produce a plurality of quantized images, with each quantized image corresponding to one of the input images. A loss function is determined based on an alignment of each input image with its corresponding quantized image via a pre-trained reference machine-learning model. One or more parameters of the image-to-image machine-learning model and the mixer model are updated based on the loss function. The process repeats, with each iteration updating the parameters of the image-to-image machine-learning model and the mixer model, until convergence, resulting in trained models.