A method of determining a model for pixel power consumption for each pixel in a display of a device displaying each color in a color space is disclosed which includes establishing a color space for the display, decomposing the color space into a plurality of subgrids, measuring the pixel power associated with a selected set of colors in each subgrid of the plurality of subgrids, establishing a pixel power model for each subgrid of the plurality of subgrids by applying a function to the power values at the selected set of colors in that subgrid, and deriving a piecewise pixel power model for the entire color space which includes pixel power models for the plurality of subgrids.

A display test apparatus includes a measuring apparatus and a calculating device connected to the measuring apparatus. The measuring apparatus provides a sample pixel value to a first display device including a first display panel, measures a first color coordinate value of an image displayed by the first display panel in response to the sample pixel value. The calculating device generates a first parameter of the first display panel in response to the first color coordinate value, generates a target color coordinate value in response to the sample pixel value, and generates a first mapping table in response to the first color coordinate value, the first parameter and the target color coordinate value.

A system for rendering color images on an electro-optic display when the electro-optic display has a color gamut with a limited palette of primary colors, and/or the gamut is poorly structured (i.e., not a spheroid or obloid). The system uses an iterative process to identify the best color for a given pixel from a palette that is modified to diffuse the color error over the entire electro-optic display. The system additionally accounts for variations in color that are caused by cross-talk between nearby pixels.

The present invention provides a display driver circuit. A determination circuit is configured to select a first mode for encoding first image data based on a first set of conditions respectively corresponding to a first set of modes. An encoder is configured to encode the first image data in the first mode. The determination circuit is additionally configured to select a second mode for encoding second image data received (n−1)th after the first image data are received; and to select a third mode for encoding third image data received(n)th after the first image data are received, based on a second set of conditions respectively corresponding to the first set of modes. A second condition in the second set of the conditions corresponding to the second mode includes a wider range of values than a first condition in the first set of the conditions corresponding to the second mode.

A method to generate pixel control signal more rapidly and with less overhead is disclosed. The method generates pixel control signals for a block of pixels having a first pixel and a second pixel. A base control signal that is shared by the block of pixels is generated. A first sharpening control signal for the first pixel is generated and a second sharpening control signal for the second pixel is generated. The first pixel control signal is generated using the first sharpening signal and the base control signal. The second pixel control signal is generated using the second sharpening signal and the base control signal. The base control signal is stored in a first memory cell; the first sharpener control signal is stored in a second memory cell; and the second sharpener control signal is stored in a third memory cell.

An embodiment of the present disclosure provides a method for processing an image. The method comprise: determining weights corresponding to candidate colors for a target color based on an original color of a pixel in the image; selecting a target color of the pixel from the candidate colors based on the weights; and converting the original color of the pixel into the target color to obtain a target image. According to the embodiment of the present disclosure, by determining the weights of the candidate colors, the image can be converted into the target image comprising only the candidate colors, thereby using a limited number of candidate colors to represent the target image.

A color modulation method for a display includes: obtaining a group of original RGB data of a pixel of an image; calling a display look-up-table (LUT) to determine whether a group of RGB mapped data corresponding to the group of original RGB data is present in the display LUT; if in, performing color modulation using the group of RGB mapped data corresponding to the group of original RGB data; and if not in, using the group of original RGB data, a plurality of groups of selected RGB data, and a group of RGB mapped data corresponding to each group of selected RGB data in combination with a predetermined interpolation algorithm to calculate the group of RGB mapped data corresponding to the group of original RGB data, and then using the obtained group of RGB mapped data to perform the color modulation.

Adaptive recoloring of displayed digital content automatically pursues specified active color palette goals while adhering to specified active color palette constraints. Source code editors, word processors, and other programs are enhanced by adaptive recoloring. Recoloring rules may specify coloring roles, colors, tolerances, color spaces, metrics, and other criteria. Recoloring may be triggered by a zoom or another change in user focus, by a brightness change, a screen size change, by notice of a user perception change, or by another event. Recoloring improves text legibility, assists user focus, compensates for differences in color perception and emotional impact, and increases color availability without degrading usability, for example. Transitions between words or other display items can be heightened. Branding colors may be preserved, in logos and text. Automatic selections may be overridden by a user command or by interactive tuning, with warnings given as appropriate.

To enable better color and in particular color saturation control for HDR image handling systems which need to do luminance dynamic range conversion, e.g. from a SDR image to an image optimized for rendering on a display of higher display peak brightness and dynamic range, the inventors invented an apparatus (400) for processing a color saturation (C′bL, C′rL) of an input color (Y′L, C′bL, C′rL) of an input image (Im_RLDR) to yield an output color (Y′M, Cb′M, Cr′M) of an output image (Im3000nit) corresponding to the input image, which output image is a re-grading of the input image characterized by the fact that its pixel colors have a different normalized luminance position (Y2) compared to the normalized luminance positions of the input colors (Y1), the normalized luminances being defined as the luminance of a pixel divided by the respective maximal codeable luminance of the image's luminance representation, whereby the ratio of the maximum codeable luminance of the input image and the maximum codeable luminance of the output image is at least 4 or larger, or ¼.sup.th or smaller, the apparatus comprising: a receiver (206) arranged to receive a luminance mapping function (F_L_s2h) defining a mapping between the luminance of the input color (Y′L) and a reference luminance (L′_HDR), and an initial saturation processing function (F_sat) defining saturation boost values (b) for different values of the luminance of the input color (Y′L); a display tuning unit (1009) arranged to calculate a display tuned luminance mapping function (F_L_da) based on the luminance mapping function (F_L_s2h) and at least one of a display peak brightness (PB_D) and a minimum discernable black (MB_D); a luminance processor (401) arranged to apply the display tuned luminance mapping function (F_L_da) to determine an output luminance (Y′M) from the input luminance (Y′L) of the input color; and a saturation processing unit (410, 411), arranged to map the input color saturation (C′bL, C′rL) to the color saturation (Cb′M, Cr′M) of the output color on the basis of a saturation processing strategy which specifies saturation multipliers for the normalized luminance values (Y_norm); characterized in that the apparatus further comprises a saturation factor determination unit (402) arranged to calculate a final saturation processing strategy (b; Bcorr) based on the initial saturation processing strategy (F_sat) and based on a secondary luminance value (Y′_H) which is derivable from the output luminance (Y′M) by applying a luminance mapping function (F_M2H) based on the luminance mapping function (F_L_s2h), and whe

A computing device may include a processor and a display device communicatively coupled to the processor wherein the display device includes a wide gamut mode wherein the wide gamut mode comprises a plurality of different gamut profiles and wherein the display device adjusts from a first gamut profile to a second gamut profile based on a gamut profile associated with an image to be represented on the display device.