Method and device for supplementary light processing of video images
A technology of video image and processing method, which is applied in the field of image processing and can solve the problems of abnormal image picture, decrease of useful area contrast, decrease of image gray level, etc.
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Embodiment 1
[0082] figure 1 The embodiment of the present invention provides a schematic diagram of a supplementary light processing process of a video image, and the process includes the following steps:
[0083] S101: Divide the image corresponding to the current frame into multiple rectangular areas according to the set rules, and determine the average brightness value of each coordinate point according to the range of the coordinate points corresponding to the vertices of each rectangular area.
[0084] The video image supplementary light processing method provided by the embodiment of the present invention is applied to electronic equipment. The electronic devices include PCs, smart TVs, cameras, and mobile phones.
[0085] The electronic device divides the image corresponding to the current frame into multiple rectangular areas according to the set rules, uses the vertices of the multiple rectangular areas as corresponding coordinate points, and determines the range within the rang...
Embodiment 2
[0107] On the basis of the above-mentioned embodiments, in order to determine the weight corresponding to each coordinate point and count the statistical results of the first binary image corresponding to each brightness direction, in the embodiment of the present invention, it is possible to determine whether the coordinate point is located at the boundary Corresponding to the first weight or the second weight, so according to whether each coordinate point is located at the boundary of direction judgment, determining the weight corresponding to each coordinate point includes:
[0108] According to each brightness direction, determine the boundary of the direction judgment corresponding to the brightness direction in the first binary image;
[0109] When the coordinate point in the first binary image is located at the boundary of the direction judgment, the coordinate point corresponds to the first weight value; otherwise, the coordinate point corresponds to the second weight v...
Embodiment 3
[0116] On the basis of Embodiment 1, in order to determine the target brightness direction of the image, the target brightness direction of the image can be determined by comparing the statistical result of the first binary image with the first brightness threshold set in the image , therefore, according to the statistical results of the first binary image corresponding to each brightness direction, determining the target brightness direction corresponding to the image includes:
[0117] For the first brightness direction, judging whether the statistical result of the first binary image corresponding to the first brightness direction is greater than a set first brightness threshold;
[0118] If yes, determine whether the statistical result of the first binary image corresponding to the first brightness direction is the maximum value among the first binary image statistical results corresponding to all brightness directions, and if so, determine the first brightness direction as...
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