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Video image noise reducing method based on moving detection and self adaptive filter

A technology of adaptive filtering and motion detection, applied in the field of video processing, can solve problems such as low computational cost, and achieve the effect of low computational cost, avoid damage, and good stability

Inactive Publication Date: 2007-01-24
北京伟世万联科技有限公司
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Problems solved by technology

[0009] The technical problem to be solved by the present invention is to suppress the noise in the video image collected in real time, to improve the visual quality of the digital video, and improve the performance of the subsequent video processing steps, while the noise reduction method should also maintain a very low noise when it has high filtering efficiency. Calculate the cost

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  • Video image noise reducing method based on moving detection and self adaptive filter
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  • Video image noise reducing method based on moving detection and self adaptive filter

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Embodiment Construction

[0018] For the aforementioned problems, the present invention proposes a video filtering method based on motion detection and Kalman filtering, its principle is as follows figure 1 shown. The method of the present invention first estimates the variance of the noise, and calculates the required threshold; then divides each frame into equal-sized and non-overlapping macroblocks; If it is a static area, time-domain Kalman filtering is performed along the time axis; if the difference is large, it is judged as a moving area and spatial adaptive filtering is performed. The specific steps are as follows:

[0019] 1. Noise variance σ v 2 estimate

[0020] First divide a certain frame of the video image into 10×10 sub-blocks, calculate their variances respectively, and then obtain the minimum value of these variances as the estimated result. The calculation of the variance is shown in formula (3):

[0021] σ v 2 = ...

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Abstract

This invention discloses a method for reducing noises based on motion test and adaptive filter including: 1, estimating the noise variance based on input video images and computing the threshold value of an adaptive filter, 2, applying a motion test based a macroblock to segment the motion-background region, 3, applying time domain Kallman filtering in a static region for process, 4, applying an empty domain to filter adaptively in the motion region, which avoids the complex computation of motion estimation and compensation to either secure the process result in static regions or the filter result in motion regions.

Description

technical field [0001] The invention belongs to the field of video processing, and mainly relates to a video image noise reduction method based on motion detection and self-adaptive filtering, which is suitable for preprocessing steps of applications such as digital video conferencing and digital video monitoring. Background technique [0002] In recent years, digital multimedia applications based on audio and video have increasingly shown a rapid development trend, occupying the mainstream position of consumer electronics. As the most important multimedia service, digital video has been used more and more widely. The acquisition and transmission of digital video are the main functions of the video application system. These processes will inevitably introduce various noises. Their sources mainly include: the imaging process of the camera, the circuit of the imaging system, and the transmission channel. The existence of noise will seriously affect the visual quality of video...

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Application Information

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IPC IPC(8): H04N5/21
Inventor 吴颖谦
Owner 北京伟世万联科技有限公司
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