Video denoising method and video denoising system

A video noise reduction and pixel point technology, which is applied in the video noise reduction system and the video noise reduction field, can solve the problems of large processing resources, slow CPU calculation, large amount of video data, etc., and achieve good noise reduction effect and less processing resource occupation , processing fast effect

Active Publication Date: 2014-12-31
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

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  • Video denoising method and video denoising system
  • Video denoising method and video denoising system
  • Video denoising method and video denoising 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 invention provides a video denoising method and a video denoising system. According to the method, SAD values of corresponding pixels in a current frame image and a previous frame image are computed so as to judge whether the pixels in the current frame image and the previous frame image are moved or not through the SAD values, the corresponding pixels of the current frame and at least one previous frame image are searched, and pixel values of the corresponding pixels at least in the current frame image and the previous frame image are subjected to weighted averaging so as to achieve the purpose of denoising the current frame image by the aid of the previous frame images. Moreover, newly-presented pixels in the current frame are subjected to intra-frame denoising, all the pixels in each frame video image can be denoised, and denoising effect is good. A complicated denoising algorithm is omitted in execution in the whole video denoising method, the video denoising method is simple, video denoising is fast, occupancy on processing resources of a CPU (central processing unit) is less, and the requirement on real-time performance of the network video technology is met.

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 Applications(China)
IPC IPC(8): H04N5/21H04N5/208
Inventor 张伟
Owner GUANGZHOU HUADUO NETWORK TECH
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