H04N1/6058

COLOR SPACE INK MODEL GENERATION MECHANISM

A printing system is disclosed. The printing system includes at least one physical memory device to store ink model estimation logic and one or more processors coupled with the at least one physical memory device to execute the ink model estimation logic to receive a first plurality of ink deposition curves each associated with one of a plurality of primary color inks of a print system, wherein the associated primary color inks in combination represent a first secondary color, receive a color space mapping profile for the print system, wherein the color space mapping profile characterizes a relationship between a first color space and a printer color space of the print system and generate a color space ink model for the first secondary color based on the first plurality of ink deposition curves and the color space mapping profile, wherein the color space ink model represents a relationship between each of a plurality of parameters of the first color space and ink deposition.

Color gamut mapping method and device

The present disclosure relates to a color gamut mapping method and a color gamut mapping device that allow precise color gamut tuning to be efficiently performed, and a display device including the same. A color gamut mapping method according to an aspect includes converting, by a color space converter, a first color signal of an input image into a first luminance component and a pair of first chrominance components, controlling, by a saturation controller, a saturation of the first chrominance component for each control area using a saturation gain and outputting a second chrominance component, controlling, by a hue controller, a hue of the second chrominance component for each control area and outputting a third chrominance component, entirely controlling, by an overall controller, a saturation and a hue of the third chrominance component using overall saturation gains and overall hue gains and outputting a fourth chrominance component, and inversely converting.

METHOD AND APPARATUS FOR SELECTIVELY PRESENTING CONTENT
20230019314 · 2023-01-19 ·

A method, system, apparatus, and/or device for displaying a portion of data so as to not obstruct a portion of a central visual field. The method, system, apparatus, and/or device may include a display configured to display data and a processing device coupled to the display. The processing device may be configured to determine a position of an eye of a viewer with respect to the display, define a first region of the display substantially corresponding with a peripheral vision field of the eye, define a second region of the display substantially corresponding with a central visual field of the eye, send a first portion of the data to be displayed at the first region, and send a second portion of the data to be displayed at the second output region such that a portion of the central visual field is unobstructed by the second portion of the data.

SIGNAL RESHAPING FOR HIGH DYNAMIC RANGE SIGNALS

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized. HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

Image processing for increasing visibility of obscured patterns
11527023 · 2022-12-13 · ·

Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.

Printing device and printing method

A printing device includes: an ink system having a plurality of types of inks; an image input unit accepting an input of an image to be printed; a print condition selection unit accepting a selection of N types of print conditions used when printing the image, N being an integer equal to or greater than 2; an application rate input unit accepting an input of an application rate of each of the N types of print conditions that are selected; a first ink amount calculation unit calculating an expected amount of ink of each of the plurality of types of inks used when it is assumed that the image is printed using singly each of the N types of print conditions that are selected; a second ink amount calculation unit calculating an actual amount of ink used when printing the image, using the expected amount of ink corresponding to each of the N types of print conditions and the application rates of the N types of print conditions; and a printing unit executing printing of the image according to the actual amount of ink.

PRINT AGENT COVERAGE VECTORS

In an example, a method includes determining, using processing circuitry, a first and second set of print agent coverage vectors characterising a white to black neutral axis in a color space. The first set of print agent coverage vectors may comprise non-black colorant elements and no black colorant elements, and the second set of print agent coverage vectors may comprise black colorant elements and no non-black colorant elements. Print agent coverage vectors characterising a skeleton of a color gamut using the non-black colorants and no black colorants and including the first set of print agent coverage vectors may also be determined, and a third set of print agent coverage vectors may be determined from the print agent coverage vectors characterising the skeleton using interpolation. A fourth set of print agent coverage vectors may be determined from the third set of print agent coverage vectors by, for each of a plurality of vectors of the third set, determining an amount of each non-black colorant specified in the vector of the third set of print agent coverage vectors, determining an amount of black colorant from one of the vectors from the second set of print agent coverage vectors; and determining a vector of the fourth set of print agent coverage vectors based on the amounts of non-black and black colorants.

Color table generation

Target color table generated from source color tables. A first significance factor is assigned to a first node in a first source color table. The first node in the first source color table corresponds with a color input in a first color space and provides a first print substance formulation in a second color space. A second significance factor is assigned to a second node in a second source color table. The second node in the second source color table corresponds with the color input in the first color space and provides a second print substance formulation in the second color space. A third node in target color table is generated from the first and second nodes based on the first and second significance factors. The third node corresponds with the color input in the first color space and provides a third print substance formulation in the second color space.

Image representation method, image representation device, and computer readable storage medium

There is provided an image representation method, including: converting a to-be-converted image from a first color space to a second color space; acquiring a target conversion color ratio corresponding to each pixel of the to-be-converted image and including ratios of plural target conversion colors, according to a color ratio allocation table based on the second color space; creating an array corresponding to the pixel according to the target conversion color ratio; calculating an index value corresponding to the pixel according to a position of the pixel in the to-be-converted image, and inputting the index value to the array as a subscript of the array, to acquire an element of the array as a target value corresponding to the pixel; and determining a target conversion color of the pixel according to the target value, to acquire a converted image including the plural target conversion colors.

Image processing method and electronic device supporting the same

An electronic device comprises a camera; a memory configured to store a plurality of tone mapping information sets, each of the tone mapping information sets comprising image information of an image frame and tone mapping information of the image frame; and a processor, wherein the processor is configured to: select a tone mapping information set based on user input; acquire a first image frame captured through the camera; obtain a first feature of the first image frame by analyzing the first image frame; identify a second feature of second image frame corresponding to the selected tone mapping information set, based on image information of the second image frame; compare the first feature and the second feature; based on the comparison result, apply tone mapping to the first image frame using tone mapping information of the second image frame; and store image data of the first image frame, in the memory.