The present application discloses a method for processing image data with enhanced grayscale level for a display panel. The method includes receiving image data with a maximum grayscale level up to (M+N)-bit. The method further includes dividing the image data of the (M+N)-bit to a first set of data including low-order part up to M-bit and a second set of data including high-order part up to N-bit. Additionally, the method includes reconstructing multiple sets of new image data up to N-bit based on the first set of data and the second set of data. Furthermore, the method includes forwarding the multiple sets of new image data to the driver circuit respectively in multiple divisional time periods and driving the display panel to display image using the multiple sets of new image data.

Aspects of the present invention relate to methods and systems for measuring and managing the brightness of digital content in a field of view of a head-worn computer.

In one embodiment, a computing system may receive a target image with a first number of bits per color. The system may access masks that each includes dots associated with a grayscale range. A subset of the dots associated with each of the masks may be associated with a subrange of the grayscale range. The dots within the subsets of dots associated with the masks may have different positions. The system may generate a number of images based on the target image and the masks. Each of the images may have a second number of bits per color smaller than the first number of bits per color. The system may display the images sequentially on a display for representing the target image.

An artificial-reality device has a display with a plurality of pixels. In a calibration mode, the device determines gray-level values for the pixels using a uniform test image. Each pixel has a luminance level proportional to its gray-level value. The device groups the pixels into segments according to the luminance levels. For each of the segments, the device computes an overall luminance level and a luminance target according to the determined gray-level values. When the overall luminance level is below the luminance target for the segment, the device calculates calibration data, which either (i) increases the gray-level of each pixel in the segment by a specified amount or (ii) selects a gamma band for the segment corresponding to a difference between the luminance target and the overall luminance level. The device stores the calibration data. The device is configured to use the stored calibration data in subsequent display of images.

A method of displaying an interface image includes: acquiring a currently displayed interface image, and determining a grayscale of each pixel point of the interface image; in the grayscales of all the pixel points, determining the number of each grayscale; acquiring N grayscales, the numbers of the N grayscales being the first N largest numbers, where N is a preset positive integer; when each difference between the N grayscales exceeds a first preset value, and a ratio of a sum of the numbers of the N grayscales to a sum of the numbers of all the grayscales exceeds a second preset value, determining a brightness adjustment parameter corresponding to the interface image; and reducing a current backlight brightness based on the brightness adjustment parameter.

A method and system for reducing the number of colors per pixel present in an image to increase the ability to detect objects or anomalies in the image. A final number of colors per pixel to reduce the image to is determined, wherein the final number of colors is a number of colors less than the number of colors per pixel in the original image. A corresponding threshold value for each of the final number of colors is identified, such that the corresponding threshold values optimize an arithmetic combination of separation score functions applied to the plurality of pixels and the threshold values. The image is reduced to the final number of colors per pixel, by creating an output image where a value of each output pixel is equal to the number of threshold values that are less than the value of the corresponding input pixel.

A data processing method, an image display driving method, a data processing device, a display panel and a computer-readable storage medium are provided. The data processing method includes: based on input RGB grayscale values, calculating a chromaticity coordinate of the input RGB grayscale values on a chromaticity diagram, in which the chromaticity diagram includes a white basic point; calculating to obtain intermediate grayscale values containing a white component, based on the input RGB grayscale values and according to a position relationship between the chromaticity coordinate and the white basic point; and adjusting the intermediate grayscale values to obtain output RGBW grayscale values.

A non-transitory computer-readable medium encoded with a computer-readable program, which when executed by a processor, will cause the processor to execute an image processing method, the image processing method including establishing a zero crossing region from a target image onto a screen, wherein the zero crossing region comprises a corresponding value. The method further includes receiving a variable input and an integration time input, wherein the variable input comprises a frequency number for an image accumulation procedure, and wherein the integration time comprises a time period for which an aperture for a sensor receives incoming signals. Additionally, the method includes performing the image accumulation procedure. Moreover, the method includes producing a final greyscale image by adding a plurality of sets of vertically shifted pixel values, wherein the frequency number for the image accumulation procedure ranges from 3 to 20.

An image system for generating depth maps and color images includes a plurality of image sensors, at least one image processor, and at least one depth map generator. An image processor of the at least one image processor is coupled to at least one image sensor of the plurality of image sensors for generating luminance information represented by a first bit number and at least one color image represented by a second bit number according to at least one image captured by the at least one image sensor, wherein the at least one color image corresponds to the at least one image. A depth map generator of the at least one depth map generator is coupled to the image processor for generating a depth map corresponding to the at least one image according to the luminance information represented by the first bit number.

A data processing method includes mapping original data in ARGB format into mapped data in RGB format, and sending the mapped data to a data receiving terminal through a first display serial interface (DSI) for the data receiving terminal to receive the mapped data through a second DSI and to inversely map the mapped data to obtain the original data.