Boe Technology Group Co., Ltd.

Beijing Boe Optoelectronics Technology Co., Ltd.

Xiaolei Liu

Lili Chen

Hao Zhang

Jiankang Sun

Yachong Xue

Minglei Chu

Guixin Yan

Yaoyu Lv

Menglei Zhang

Xinkai Li

Yunqi Wang

Gang Li

An image processing method includes: according to position coordinates of any interpolation pixel in a target image, determining position coordinate of the interpolation pixel in an original image; calculating a two-dimensional image entropy of an (n×n) neighborhood of the interpolation pixel in the original image; when it is greater than or equal to a preset entropy threshold value, calculating a pixel value of the interpolation pixel based on all original pixels; when it is less than the preset entropy threshold, calculating gradient values in at least two edge directions within the threshold neighborhood and determining whether there is a strong-edge direction; if so, calculating the pixel value of the interpolation pixel based on a plurality of original pixels in the strong-edge direction; if not, calculating the pixel value of the interpolation pixel based on all the original pixels.

Image processing methods for improving definition of image, electronic devices, and non-transitory computer-readable storage media

Provided a method for processing an image, including: acquiring an interpolation image by performing interpolation processing on a to-be-processed image, wherein the interpolation image includes a plurality of interpolation pixels; acquiring, for each of the interpolation pixels, a first candidate pixel value and a second candidate pixel value by adjusting the initial pixel value of the interpolation pixel; determining a first difference between a second derivative of the first candidate pixel value and a second derivative of a pixel value of a target original pixel; determining a second difference between a second derivative of the second candidate pixel value and the second derivative of the pixel value of the target original pixel; and updating the initial pixel value of the interpolation pixel; wherein the target original pixel includes each original pixel adjacent to the interpolation pixel.

Method and device for processing image, display device, and storage medium

Provided is a method for processing images. The method includes: acquiring a plurality of original sub-images acquired by a plurality of cameras in a camera array; converting first pixel coordinates of each pixel in each original sub-image in an image coordinate system into target pixel coordinates in a target plane coordinate system; determining a region pixel value of each sub-region according to a correspondence between the target pixel coordinates of each pixel in each original sub-image and each sub-region in the target plane; and determining a spliced image in the target plane based on the region pixel value of each sub-region.

Method, apparatus, and device for processing images, and storage medium

An image distortion processing method, including: determining a first relationship between a position of a human eye and a viewing position of the human eye on the VR screen; displaying an initially distorted image on the VR screen; determining a first feature point located at a first initial position in the initially distorted image; determining a first human eye position of the human eye in a case of viewing the first feature point located at a first target position; determining the first target position according to the first relationship and the first human eye position; determining a first target distortion parameter corresponding to the first feature point located at the first target position according to a relationship between a position of the feature point on the VR screen and a distortion parameter; and performing distortion on an image displayed on the VR screen according to the first target distortion parameter.

Method and apparatus of processing image distortion

A method for tracking eye gaze, a system, a processing device and a computer readable storage medium are provided. The method includes: acquiring original images acquired by multiple image acquisition devices, splicing the multiple original images into a spliced image, and determining a responsible region of each image acquisition device in the spliced image; performing preliminary face locating on the spliced image, and determining one or more original images corresponding to a preliminarily located face position according to the preliminarily located face position and the responsible region; and performing secondary face locating on the one or more determined original images to obtain face pose information and a positional relation of pupils with respect to human eyes, and calculating coordinates of gaze points of the human eyes according to the obtained face pose information and the positional relation of the pupils with respect to the human eyes.

Eye method for tracking eye gaze, system, processing device and computer readable storage medium

A system and a method of calculating coordinates of a pupil center point are provided. The system for acquiring the coordinates of the pupil center point includes a first camera, a second camera, a storage and a processor. The first camera is configured to capture a first image including a face and output the first image to the processor, the second camera is configured to capture a second image including a pupil and output the second image to the processor, a resolution of the first camera is smaller than a resolution of the second camera, and the storage is configured to store processing data, and the processor is configured to: acquire the first image and the second image; extract a first eye region corresponding to an eye from the first image; convert the first eye region into the second image, to acquire a second eye region corresponding to the eye in the second image; and detect a pupil in the second eye region and acquire the coordinates of the pupil center point.

System and method of acquiring coordinates of pupil center point

A method for detecting a screen is provided, which may improve detection accuracy of defective sub-pixels in the display screen. The method includes: obtaining an image of a screen to be detected; performing Gabor filtering on the image of the screen to be detected to obtain a plurality of Gabor filtered images; performing image fusion on the plurality of Gabor filtered images to obtain a fused image; segmenting the fused image by using different gray thresholds to obtain segmented images; and performing defect detection according to the segmented images to determine whether there is a defective sub-pixel in the screen to be detected. A value range of different gray thresholds is within a gray value range of the fused image.

Method and apparatus for detecting a screen, and electronic device

A method for detecting dirt on a screen, a device for the same, an electronic device and a computer-readable storage medium are provided. The method includes acquiring a first image of the screen when the screen is displaying a first picture, determining a dirt detection area in the first image with a mask image, and detecting a position of the dirt within the dirt detection area. With the method provided by the embodiments of the disclosure, the positon of dirt on the screen could be detected based on at most two images of the screen. The time for detecting dirt on the screen is greatly shortened, and the efficiency of detection is enhanced.

Dirt detection on screen

A method for detecting image defects is described, which includes obtaining an image to be detected, down-sampling the image to be detected to obtain a down-sampled image, de-cluttering the down-sampled image to obtain a de-cluttered image, restoring the de-cluttered image into a restored image having the same resolution as the image to be detected so as to be used as a background image, and comparing the image to be detected with the background image to determine defects in the image to be detected. An apparatus for detecting image defects, a computing device and a storage medium are also described.

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Beijing, China

Xiaolei Liu