Video super-resolution method based on key frame and non-local constraints
A non-local, super-resolution technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of limited high-frequency information, high requirements, and degraded visual quality, and achieve sharpened image edges and multiple image details. Effect
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[0036] refer to figure 1 , the implementation steps of the present invention are as follows:
[0037] Step 1, input video X, and extract each frame of image in it.
[0038] Input video X, which includes high-resolution images and low-resolution images, and the image distribution relationship is: the first and last two frames are high-resolution images, starting from the first frame of high-resolution images, every eight frames of low-resolution images are A frame of high-resolution images until the end frame;
[0039] Extract each frame of video X to get high-resolution image frame X h ,h=1,...,M, and the low-resolution image frame X t ,t=1,...,N, and define these high-resolution images as key frames, and define these low-resolution images as non-key frames, where M is the number of frames of high-resolution images in the video, and N is the low-resolution images in the video. The number of frames of the resolution image.
[0040] Step 2, using the subdivisional relations...
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