Shenzhen China Star Optoelectronics Technology Co., Ltd.

Huizhou China Star Optoelectronics Technology Co., Ltd.

Tcl China Star Optoelectronics Technology Co., Ltd.

Huizhou China Star Optoelectronics Display Co., Ltd.

Yanxue Wang

Lixuan Chen

Jing Zhang

Jhenwei He

Yun Zhang

Yansong Li

Zhongbin Wang

Xueqi Tang

A method for adjusting grayscales of a display panel and a display panel, wherein firstly obtaining a reference brightness corresponding to each original grayscale according to each original grayscale, then filtering an initial dataset to obtain a preliminary dataset, calculating a weight of a preset brightness according to a front-viewing weight and the reference brightness, and finally selecting a group of grayscale data corresponding to the preset brightness with the smallest weight as a target high grayscale and a target low grayscale. The present disclosure can increase visual angles of the display panel and solve visual angle defects.

Method of adjusting grayscales of display panel and display panel

The present application discloses a mura detecting method, device and readable storage medium. The method includes obtaining an area of a target test image obtained from an original image signal where mura exists to serve as a target test area; processing the target test area to obtain a grayscale distribution; obtaining a brightness gradient distribution based on the grayscale distribution; calculating a SEMU value based on the brightness gradient distribution; and obtaining a location corresponding to the mura area based on the SEMU value. It realizes objective measurement and evaluation of halo phenomenon.

Mura detecting method, device and readable storage medium

The present invention provides a method for detection of in-panel mura based on Hough transform and Gaussian function fitting, including: S1. acquiring an original gray-scale image; S2. acquiring a binarized image according to the gray-scale image; S3. performing an edge detection via Hough transform to crop edges of the gray-scale image; and S4. performing histogram statistics on the cropped gray-scale image, fitting the histogram to a Gaussian function, and detecting an in-panel mura result according to the fitting parameters. The present invention is able to determine images of the display region via Hough transform in order to acquire the region for in-panel mura detection, and also evaluate severity of in-panel mura via parameters acquired by Gaussian function fitting, and thus to quickly detecting in-panel mura.

Method and system for detection of in-panel mura based on hough transform and gaussian fitting

The disclosure discloses a system and a method for detecting image sticking on a display. The method includes dividing a display image on the display equally into at least two identical sections, one of the at least two sections is as a reference section, drawing sectional chess board images according to a size of the reference section, Fourier transforming the sectional chess board images and each of the sections of the display image respectively, obtaining characteristic frequencies of image sticking on each of the sections and first spectrum energy values in each of spectrum structures correspondingly, additionally obtaining second spectrum energy values of reference frequencies of each of the sections in frequency domain structures, obtaining ratios of the first spectrum energy values to the second spectrum energy values corresponding to each of the sections.

System and method for detecting image sticking on display

The disclosure provides a method for generating images on a display, including: S, obtaining first Lab values according to LCH values; S, obtaining a first original value of a measured display; obtaining first tristimulus values of a color n according to tristimulus values of a pure white image as reference values and the first Lab value; S, obtaining first output gray-scale values according to the first tristimulus values; S, obtaining first input gray-scale values according to the first output gray-scale values; S, obtaining second Lab values according to the first input gray-scale values; S, comparing the first Lab values and the second Lab values. A system of the disclosure includes an obtaining module, a converting module, a judging module, an outputting module and a correcting module. Compared with the prior art, colors in the display image approach the real colors.

Method and system for generating images on display

The present application discloses a detection system for image sticking of display panel and method thereof, includes obtaining the display panel image to be detecting the image sticking; obtaining the image display portion of the display panel in the display panel image; performing Fourier transform to the image display portion, obtaining a first spectral energy value with characteristic frequency corresponding to the image sticking in the image display portion, and a second spectral energy value of the reference frequency in the image display portion; determining the ratio of the first spectral energy value and the second spectral energy value is exceeding the numerical range of the corresponded qualified detection, if beyond, it is judged as disqualified. By the method described above, the present application can solve the conventional image sticking judgment based on human subjectivity, accurate judgment and objectively evaluation of severity the image sticking of the display panel.

Detection system for image sticking of display panel and method thereof

An image-sticking inspection method and a device. The method includes: after displaying a standard checkerboard image for a period of time, changing to an image having a specified grayscale value and capturing a residual image; respectively performing a fourier transformation to the standard checkerboard and residual image to obtain a first and a second energy spectrum; respectively transforming the first and the second energy spectrum to polar coordinate; for polar angles from 0 to 2&#x3c0;, summing values of each first and second energy spectrum in the polar coordinate to obtain a checkerboard and an image-sticking energy spectrum; obtaining a characteristic frequency corresponding to a maximum value of the checkerboard energy spectrum; obtaining a first and a second energy value respectively corresponding to the characteristic and a zero frequency of the image-sticking energy spectrum; and dividing the first energy value by the second energy value to obtain an image-sticking evaluation value.

Growing community of inventors

Guangdong, China

Yanxue Wang