Method for denoising video based on surfacelet conversion characteristic

A technology of transforming characteristics and video, which is applied in the field of image processing and video processing, can solve the problems of not using the correlation of video images and effectively improving the denoising effect of video images, so as to achieve the effect of improving the denoising effect
CN102547076BInactive Publication Date: 2014-04-16XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2014-04-16
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses a method for denoising a video based on a surfacelet conversion characteristic. The method comprises the following steps of: inputting a video to be denoised; acquiring a high-frequency sub-band coefficient; estimating a noise standard difference; acquiring the energy of a corresponding scale of the surfacelet domain of the video to be denoised; acquiring the regulating factor of the high-frequency sub-band; acquiring a basic threshold value; acquiring the regulating factor of the high-frequency sub-band coefficient; acquiring the threshold value of the high-frequency sub-band coefficient; acquiring a high-frequency sub-band coefficient of the surfacelet domain of the denoised video; and acquiring the denoised video. According to the method, a video and noise are distinguished by using the surfacelet coefficient, so that the relevance existing between the pixel and the frame of the video image is fully utilized, the noise can be effectively removed, and the edge detailed information of the video image can be better kept simultaneously.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and further relates to a video denoising method based on Surfacelet transformation characteristics in the technical field of video processing. The invention can be used for the removal of video image additive noise. Background technique

[0002] In the process of video image acquisition and transmission, the introduction of noise is inevitable. Since video images have great correlation between adjacent pixels and frames, while noise is random and irrelevant, this provides a theoretical basis for video image noise removal in the spatio-temporal domain. Since the noisy video image has different characteristics in the transform domain after wavelet transform and Surfacelet transform, the video image and noise have different characteristics, so denoising the video image in the transform domain can also achieve a good denoising effect.

[0003] The patent application "A Video Image Noise Es...

Claims

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