Video image enhancement method and device
An image enhancement and video image technology, applied in the field of image processing, can solve problems such as low visual experience and partial enhancement of noise
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Embodiment 1
[0066] Based on the above basic idea, see figure 1 , which shows the flow of a video image enhancement method provided by an embodiment of the present invention, the method may include:
[0067] S101: Obtain the frame-level noise intensity indicator value of the current frame according to the current frame of the video image and the corresponding pixel points of the previous frame;
[0068] S102: Obtain the noise weight and DC component corresponding to each pixel according to each pixel of the current frame and the preset first window;
[0069] S103: Obtain a high-frequency coefficient group corresponding to the current frame from the pixels of the current frame according to a preset sorting strategy;
[0070] S104: Obtain an image enhancement gain value according to the frame-level noise intensity indication value and the high-frequency coefficient group of the current frame;
[0071] S105: Obtain a high-frequency value corresponding to each pixel according to the image en...
Embodiment 2
[0144] Based on the same technical idea of the foregoing embodiments, see Figure 5 , which shows a video image enhancement device 50 provided by an embodiment of the present invention, the device 50 may include: a frame-level noise detection module 501, a pixel noise detection module 502, a frame-level detail detection module 503, and a gain acquisition module 504. Pixel high-frequency generation module 505 and pixel enhancement module 506; the connection relationship between modules is characterized by signal flow direction, wherein,
[0145] The frame-level noise detection module 501 is used to indicate the frame-level noise intensity indicator value of the current frame according to the current frame of the video image and the corresponding pixels of the previous frame;
[0146] The pixel noise detection module 502 is configured to obtain the noise weight and DC component corresponding to each pixel according to each pixel of the current frame and the preset first window...
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