Shenzhen China Star Optoelectronics Technology Co., Ltd.

Houliang Hu

Hao Li

Li-wei Chu

Chihhao Wu

Mingfeng Chen

Jhenwei He

Yufeng Jin

Ping-sheng Kuo

Jimu Kuang

Liwei Chu

Chih Hao Wu

Liwei Zhu

Disclosed is a method for obtaining a compensation value of gray scale of a pixel. The method comprises steps of: acquiring a display area of a display panel; dividing the display area equally into a plurality of first sub-areas according to a first preset rule, each of the first sub-areas comprising at least two pixels; obtaining pre-stored multinomial coefficients of each of the first sub-areas, and according to a second preset rule, establishing a multinomial corresponding to each of the first sub-areas; and obtaining a value range of an independent variable of the multinomial, and according to a corresponding multinomial, obtaining a compensation value of gray scale of each of the first sub-areas.

Method for obtaining compensation value of gray scale of a pixel

The present invention provides an OLED gate driving circuit structure, comprising an OLED panel, a gate charge/discharge driving circuit, a logic process unit and a source driving circuit; the gate charge/discharge driving circuit is located at one side of the OLED panel, and the gate charge/discharge driving circuit comprises a plurality of output ends, and each output end is electrically coupled to the logic process unit with one signal line; the logic process unit is located inside the OLED panel, and the logic process unit receives a scan signal transmitted by the gate charge/discharge driving circuit through the signal line, and converts the scan signal into a discharge scan signal and a charge scan signal to be provided to the OLED panel; the source driving circuit is coupled to the OLED panel, and provides a data signal to the OLED panel, and only one gate driving integrated circuit is utilized in the structure for achieving the charge and discharge procedures of the gate driving circuit to save the hardware cost and to simplify the panel layout circuit and to make the frame of the panel narrower.

OLED gate driving circuit structure

The present invention provides a digital driving method of an OLED display device, and the input front end data analysis module analyzes the data signals of at least two adjacent frames of image, and the OLED display device divides the data signals of each frame of image in the at least two adjacent frames of image into a plurality of subframes according to an order of display times, and adjusts an order of various color components outputted by the plurality of subframes corresponded with the data signals of each frame of image according to an analysis result of the data signals of at least two adjacent frames of image to prevent the new integral effect generates between the two adjacent frames of image because the data signals are different, and thus to eliminate the flicker and raising the image display quality.

Digital driving method of OLED display device

The present invention discloses a display device, comprising a display panel, a data driving circuit, and a scan driving circuit, the data driving circuit being disposed on a side of the display panel in a first direction, the scan driving circuit being disposed on a side of the display panel in a second direction, the first direction being perpendicular to the second direction; both the data driving circuit and the scan driving circuit are connected to the display panel. The present invention can reduce a width of a non-display region of the display device under a premise of improving a display quality.

Display device having a pixel structure

An automatic detection method for defects of a display panel is disclosed, which comprises: acquiring a tag image, a mapped original image and a mapped tag image; dividing the mapped original image into a plurality of mapped original sub-images, and dividing the mapped tag image into a plurality of mapped tag sub-images; acquiring a normal area and a defective area of the mapped original sub-images; merging the mapped original sub-images to discriminate the normal area and the defective area of the mapped original sub-images; correcting the discriminated normal area and the discriminated defective area of the mapped original sub-images by using the mapped tag image and the tag image to acquire a defect location of the display panel. The automatic detection method for defects of the display panel can accurately acquire the location of the defect and the difference between the defective area and the normal area to quantify and discriminate the defects of the display panel.

Automatic detection method for defects of a display panel

A method for image edge anti-aliasing with super-resolution is provided and used to achieve enlargement conversion from low resolution to high resolution, by applying the steps of: detecting a received image data and saving as an original edge pixel frame; enlarging the original edge pixel frame in double size along the horizontal and vertical directions, respectively; retaining the original edge pixel information; replacing pixels to be interpolated with a zero grayscale; and compensating the pixels to be interpolated which are temporarily replaced by the zero grayscale along edge directions of the original edge pixel, such that the jagged phenomenon of output picture is output picture is significantly decreased, such that the jagged phenomena of an output picture is significantly decreased, with a detailed image information is well-maintained. The method is simple, with fewer calculations and faster operating speed, the cost can be effectively reduced.

Method for anti-aliasing of image with super-resolution

The invention provides a method of sub-pixel compensation coloring of a RGBW display device based on edge pixel detection, including: receiving m sets of high-resolution RGB data; converting the m sets of high-resolution RGB data into m sets of RGBW data, RG sub-pixels and BW sub-pixels of the RGBW display device each being corresponding to one set of RGBW data; judging a nine-palace pixel block of the RGBW display device whether contains an edge pixel based on the high-resolution RGB data; if the nine-palace pixel block contains the edge pixel, judging the nine-palace pixel block whether contains a saturation pixel based on the high-resolution RGB data; and if the nine-palace pixel block contains the saturation pixel, using a first filtering method to perform a filtering processing on a center pixel in the nine-palace pixel block based on the RGBW data. The invention can effectively eliminate color aliasing phenomenon.

Method of sub-pixel compensation coloring of RGBW display device based on edge pixel detection

Pixel-based method and apparatus of obtaining a downsampled image are provided. The method includes: constructing a virtual image by an image super-resolution technology according to a resolution of the downsampled image; determining relational expressions between pixels of the virtual image and pixels of the downsampled image; calculating a MSE between the pixels of the virtual image and pixels of the original image based on the relational expressions; determining a coefficient matrix between the pixels of the downsampled image and the pixels of the original image under the condition of the MSE being at a minimum value; determining the pixels of the downsampled image according to the pixels of the original image and the coefficient matrix; and outputting the downsampled image. Accordingly, the present invention can obtain sharp image and avoid color aliasing.

Pixel-based method and apparatus of obtaining downsampled image

Downsampling based display method and apparatus are provided. An input image including multiple pixels is obtained. At least two pixels neighboring with a to-be-calculated DS pixel on each of at least two directions from the pixels are obtained to get at least four first neighboring pixels. Theoretical values of each first neighboring pixel on the at least two directions are calculated. Errors of the theoretical values of each first neighboring pixel and a corresponding original value are obtained. Weight coefficients for calculating the DS pixel are determined according to the errors. An estimation value of the DS pixel is calculated according to the weight coefficients and the weighted cubic interpolation calculation model. As to the other DS pixels of target image, corresponding estimation values are calculated using the above steps, and then a downsampling processed image is obtained. The color aliasing is avoided and sharp image is obtained.

Downsampling based display method and apparatus

A method of grayscale compensation to defects on a display panel includes: (A) obtaining a set of coordination of the defect on the display panel, and determining a defect area where the defect locates based on the set of coordination; (B) obtaining a gamma curve of the defect, a gamma curve of a background of the defect area, and a standard gamma curve of the background of the display panel; (C) obtaining a standard gamma curve of the defect and a standard gamma curve of the background of the defect area; and (D) calculating a grayscale-compensation value for each grayscale of the defect, based on the standard gamma curve and the standard gamma curve of the background of the defect area. The present invention is to reduce calculation, and to achieve the best compensation to defects on a display panel.

Grayscale compensation method and system for defect on display panel

A super-resolution reconstructing method includes: providing an original image including multiple original image pixel points arranged in an array; performing edge detecting on the original image by Canny_H method and considering pixel edge information of 4*4 area image range; performing 2*2 times interpolation zooming to edge pixel points and determining a type of the 4*4 area image as pure color entity area or non-pure color entity area according to the pixel edge information; performing a conditional interpolation individually on pure color entity area and non-pure color entity area; and obtaining a pixel 2*2 times interpolation zoomed super-resolution image. In pure color entity area, interpolation is performed according to edge information of 4*4 area image range to maintain border sharpness of pure color entity area and reduce jaggies. In non-pure color entity area, BiCubic_H interpolation is performed to enhance smoothness and sharpness of image.

Growing community of inventors

Guangdong, China

Houliang Hu