Motion-adaptive video image denoising method and device

A video image, self-adaptive technology, applied in the field of video image noise reduction, can solve problems such as moving image blur, image blur, blurred image edges or details, etc., to achieve the effect of controlling the implementation cost, eliminating noise, and solving image blur

Active Publication Date: 2013-04-03
SHANGHAI FULLHAN MICROELECTRONICS
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Problems solved by technology

Spatial noise reduction utilizes the characteristic that the pixels in the image neighborhood have correlation but the noise has no correlation to eliminate noise; the spatial noise reduction mostly adopts the method of low-pass filtering, which can effectively filter out the high-frequency noise of the image, but at the same time it will also blur the edge of the image or detail, the stronger the denoising, the blurrier the imag

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  • Motion-adaptive video image denoising method and device
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[0019] In order to make the object, technical solution and advantages of the present invention clearer, various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in each claim of the present application can be realized.

[0020] The first embodiment of the present invention relates to a motion-adaptive video image noise reduction method. In this embodiment, a video noise reduction method based on joint motion-adaptive time-space domain is adopted, and the motion level is determined according to the difference between the reference frame image...

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Abstract

The invention relates to the field of video image processing and discloses motion-adaptive video image denoising method and device. Time-domain denoising strength is controlled by determining motion level of a current frame to be processed, and noise level of the frame, to be processed, subjected to time-domain filtering is updated. The frame to be processed is subjected to space-domain filtering according to the updated noise level. Therefore, strength in time-domain denoising and space-domain denoising is adaptively adjusted. When the motion level decreases, the time-domain denoising strengthens and the space-domain denoising weakens; on the contrary, the time-domain denoising strength decreases and the space-time denoising strength increases; therefore, better denoising is achieved, the problem that video-denoised images blur and motion objects are 'tailed' are well solved, and system implementation cost can be effectively controlled.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to video image noise reduction technology. Background technique [0002] In the field of video image processing, noise reduction is a very effective method to enhance the quality of video images. Video will inevitably introduce noise in the process of acquisition, transmission and reception. In order to improve the subjective and objective effects of video images, improve the compression efficiency of video images or save transmission bandwidth, it is necessary to perform noise reduction processing on videos. Video noise is usually modeled as Gaussian white noise with zero mean value, the inter-frame noise is independent of each other, and the intra-frame noise appears randomly. Video noise reduction is usually processed in the space domain, time domain, transform domain or a combination of different domains in order to achieve better visual effects. Spatial noise reduction u...

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Application Information

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IPC IPC(8): H04N5/21H04N1/409
Inventor 田景军党韩兵诸悦詹进董鹏宇高厚新
Owner SHANGHAI FULLHAN MICROELECTRONICS
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