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Verified Robust Optical Flow Guided Local Block-Matching and 4D Filtering

Xueqing Liu 2, Xinghao Jiang 2, Tanfeng Sun 1,2, and Ajing Xu 3,4
1. State Key Laboratory of Software Engineering, Wuhan University, China
2. School of Electronic Information and Electrical Engineering Shanghai Jiaotong University, Shanghai, China
3. School of Medicine, Shanghai Jiaotong University, Shanghai, China
4. Department of Pharmacy, Xinhua Hospital
Abstract—Up to now, a lot of researches have been done on video denoising. In this paper, a new scheme of video denoising method, verified robust Optical Flow Guided Local Block-matching and 4D Filtering (OL-BM4D), is proposed. In this scheme, first of all, a novel algorithm is introduced to calculate verified robust optical flow. Then we propose a new method of gathering 3D blocks to form 4D groups. After the 4D groups are formed, two-stage 4D filtering is applied to them. And the video is reconstructed from the groups after denoising. Comparing our method to the cutting edge video denoising method VBM3D, the result shows OL-BM4D provides better denoising results according to both objective evaluation (PSNR) and subjective evaluation (stability between frames, the ability of retaining details and texture).
 
Index Terms—video denoising, optical flow, local block-matching and 4D filtering, objective evaluation, subjective evaluation

Cite: Xueqing Liu, Xinghao Jiang, Tanfeng Sun, Ajing Xu, "Verified Robust Optical Flow Guided Local Block-Matching and 4D Filtering," International Journal of Signal Processing Systems, Vol. 4, No. 2, pp. 155-161, April 2016. doi: 10.12720/ijsps.4.2.155-161
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