In an example a method includes deriving a print agent coverage vector specifying an area coverage for each of a plurality of elements, wherein each element is associated with a print agent, a print agent combination or an absence of print agent. Deriving the print agent coverage vector comprises, for a first element of the print agent coverage vector, applying a first weighting function which varies based on an intended area color value.

Apparatuses, systems, and methods related to an image processor formed in an array of memory cells are described. An image processor as described herein is configured to reduce complexity and power consumption and/or increase data access bandwidth by performing image processing in the array of memory cells relative to image processing by a host processor external to the memory array. For instance, one apparatus described herein includes sensor circuitry configured to provide an input vector, as a plurality of bits that corresponds to a plurality of color components for an image pixel, and an image processor formed in an array of memory cells. The image processor is coupled to the sensor circuitry to receive the plurality of bits of the input vector. The image processor is configured to perform a color correction operation in the array by performing matrix multiplication on the input vector and a parameter matrix to determine an output vector that is color corrected.

In an example a method includes deriving a print agent coverage vector specifying an area coverage for each of a plurality of elements, wherein each element is associated with a print agent, a print agent combination or an absence of print agent. Deriving the print agent coverage vector comprises, for a first element of the print agent coverage vector, applying a first weighting function which varies based on an intended area color value.

An image processing system receives image data acquired by an imaging device, and separates one or more achromatic colors from one or more chromatic colors in the received image data. The achromatic colors and the chromatic colors are processed based at least on a color temperature and lux to generate an adjusted color appearance for the achromatic colors by applying one or more defined weight values associated with the achromatic colors or the chromatic colors, respectively. The defined weight values associated with the one or more achromatic colors are different than the defined weight values associated with the one or more chromatic colors. A final image is generated using the adjusted color appearance for the one or more achromatic colors and the adjusted color appearance for the one or more achromatic colors that is more aligned with human vision and cognitive systems.

An image processing method in a system capable of forming a second image with a second color material on a sheet while forming, as a base, a first image with a first color material on the basis of print data, the method includes: acquiring color information regarding the sheet, the first image, and the second image; and enlarging or reducing an area of the second image protruding from the first image on the basis of the color information regarding the sheet, the first image, and the second image.

The image processing apparatus includes a white balance adjustment circuit configured to adjust a color temperature to RAW data of an image obtained by capturing, a generator circuit configured to generate data of planes for each component of the image from data of which color temperature was adjusted, and a RAW encoding circuit configured to conduct compression encoding of the data of the planes.

An apparatus includes a generation unit configured to generate shape information of an object in a captured image, a component acquisition unit configured to acquire an auxiliary light component representing intensity of an auxiliary light at each pixel of the captured image based on a light amount characteristic representing a light amount of the auxiliary light received by the object when the auxiliary light is emitted and the shape information of the object, a first correction unit configured to generate a first corrected image in which color of the captured image is corrected according to environmental light, a second correction unit configured to generate a second corrected image in which color of the captured image is corrected according to the auxiliary light, and a combining unit configured to combine the first corrected image and the second corrected image at a combination ratio calculated based on the auxiliary light component.

An image processing apparatus includes an image acquire unit that acquires an image in which at least one element in a first color space has linear characteristics; and a processor. The processor is configured to adjust a white balance of the image which is acquired by the image acquire unit; control the adjustment content of the white balance, on the basis of a specific color serving as a reference; convert each of a plurality of portions in the image in which the white balance has been controlled by the adjustment content of the white balance, into one element in a second color space; and apply predetermined image processing to the acquired image in which the white balance has not been adjusted, by using the converted information.

A method for processing an image may include: collecting an ambient light spectrum while capturing an image (10); determining RGB tristimulus values corresponding to ambient environment of the captured image based on the collected ambient light spectrum and a color filter absorption curve (11); determining skin color coordinates based on the collected ambient light spectrum and a spectral absorption curve of a skin color model (12); and determining RGB values in the skin color model based on the RGB tristimulus values and the skin color coordinates (13).

A system, article, and method to perform deep learning-based automatic white balancing uses a neural network in conjunction with other non-neural network automatic white balancing algorithms.