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Video Noise Reduction Method and System

A video noise reduction and noise reduction processing technology, which is applied to the components of TV systems, TVs, color TVs, etc., can solve the problems of slow CPU calculation, large processing resources, and large amount of video data, and achieve fast processing and noise reduction The effect is good, and the effect of processing resources is small

Active Publication Date: 2019-03-12
GUANGZHOU HUADUO NETWORK TECH
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Problems solved by technology

However, the current video noise reduction technology requires a large number of calculations and takes up too much CPU processing resources. Due to the huge amount of video data, the high complexity of the algorithm, and the fact that video noise reduction technology is mostly floating-point calculations, the CPU calculation is slow. , cannot be processed in real time, and cannot meet the real-time requirements of network video technology

Method used

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  • Video Noise Reduction Method and System
  • Video Noise Reduction Method and System
  • Video Noise Reduction Method and System

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Embodiment Construction

[0022] see figure 1 , figure 1 It is a schematic flow chart of the video noise reduction method of the present invention.

[0023] Described video noise reduction method comprises the following steps:

[0024] S101. Calculate the SAD value of the corresponding pixel in the current frame image and the previous frame image, and compare the SAD value with a preset SAD threshold;

[0025] In this step, the corresponding pixel points in the current frame image and the previous frame image are pixel points at the same position on the two frame images. Compare the SAD value of the pixel with the preset SAD threshold (for example, set to 512), if it is lower than the SAD threshold, the pixel has no relative motion between the current frame image and the previous frame image , the pixel point is a "stationary pixel point"; if the SAD value of the pixel point is not less than the SAD threshold, the pixel point has relatively moved between the current frame image and the previous fram...

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Abstract

The present invention provides a video noise reduction method and its system. The SAD values ​​of the corresponding pixels in the current frame image and the previous frame image are obtained by calculation, so as to judge the current frame image and the previous frame image by the SAD value. Whether the pixel point moves, search out the corresponding pixel point in the current frame and at least the previous frame image, and carry out a weighted average of the pixel value of the corresponding pixel point in at least the current frame image and the previous frame image, so as to achieve the use of the previous frame image The frame image is used to denoise the current frame image. In addition, intra-frame noise reduction processing is performed on new pixels in the current frame, so that all pixels of each frame of video image can obtain a noise reduction effect, and the noise reduction effect is better. The entire video denoising method does not need to execute complex denoising algorithms, is relatively simple, processes video denoising faster, occupies less CPU processing resources, and meets the real-time requirements of network video technology.

Description

technical field [0001] The invention relates to the technical field of video noise processing, in particular to a video noise reduction method and a video noise reduction system. Background technique [0002] With the popularization of webcam (network camera) equipment, the application of network real-time video is becoming more and more extensive. However, webcam equipment generally has the characteristics of high noise and poor color reproduction, especially in low light conditions. [0003] Noise reduction techniques for images and videos are required to improve the user's viewing experience. However, the current video noise reduction technology requires a large number of calculations and takes up too much CPU processing resources. Due to the huge amount of video data, the high complexity of the algorithm, and the fact that video noise reduction technology is mostly floating-point calculations, the CPU calculation is slow. , cannot be processed in real time, and cannot m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/21H04N5/208
Inventor 张伟
Owner GUANGZHOU HUADUO NETWORK TECH
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