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Abstract
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Article Information:
A Video Denoising Method Based on Grouping the Similar Blocks and Surfacelet
Peng Geng, Li Xianbin, Yu Wanhai, Yan Shiqiang and Liu Jianhu
Corresponding Author: Peng Geng
Submitted:
Accepted: 2011 September, 25
Published: 2011 October, 20 |
Abstract:
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In this study, a novel video denoising method combining similar block matching based on the PDS
searching method, grouping these similar block strategy and Surfacelet transform is proposed. Firstly, we apply
the SAD block matching criterion and PDS search algorithm which we proposed by searching all frames for
blocks which are similar to the currently processed one. In the complex motion case, the method of PDS can
effectively decrease the number of search points and search number. Secondly, the matched blocks are put
together to stack into some new third dimension sub-video sequences and because of the similarity between
them, the data in the video array exists high level of correlation. We apply the surfacelet transform to them and
effectively attenuate the noise by solid threshold shrinkage of the coefficients. Finally, inversely transforming
the coefficients and obtaining the denoising video according to the obtained locations in the block matching
process. This algorithm is obviously better than other 3D Curvlet and 3D wavelet method in the denoising effect
and the PSNR is increased about 0.6dB. In terms of visual quality, the proposed method can effectively
preserve the video detail, and the trajectory of motion object is very smooth, which is especially suitable to
process the video flames with plenty of large area movement object or background change.
Key words: NDDFB, PDS, SAD, Surfacelet transform, video denoising, ,
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Cite this Reference:
Peng Geng, Li Xianbin, Yu Wanhai, Yan Shiqiang and Liu Jianhu, . A Video Denoising Method Based on Grouping the Similar Blocks and Surfacelet. Research Journal of Applied Sciences, Engineering and Technology, (10): 1182-1187.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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