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Video denoising using overlapped motion compensation and advanced collaborative filtering

[+] Author Affiliations
Tae Hwan Lee

Inha University, The School of Electronic Engineering, Yonghyun-dong, Nam-gu, Incheon, 402-751, Republic of Korea

Jin-Ku Kang

Inha University, The School of Electronic Engineering, Yonghyun-dong, Nam-gu, Incheon, 402-751, Republic of Korea

Byung Cheol Song

Inha University, The School of Electronic Engineering, Yonghyun-dong, Nam-gu, Incheon, 402-751, Republic of Korea

J. Electron. Imaging. 21(2), 023004 (May 10, 2012). doi:10.1117/1.JEI.21.2.023004
History: Received August 26, 2011; Revised December 28, 2011; Accepted March 1, 2012
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Abstract.  We present spatiotemporal denoising based on overlapped motion compensation and advanced collaborative filtering. First, noise-robust overlapped motion compensation is performed on a block basis for temporal grouping. Next, the K-nearest neighbors of each block are grouped in a 3D array, and the 3D array is transformed. Then, adaptive soft thresholding is performed in the 3D transform domain. In addition, a modified weighting strategy for aggregation is applied for better visual quality. Simulation results show that the proposed algorithm improves the peak signal-to-noise ratio performance by about 2 dB in comparison with the state-of-the-art technique while providing much better subjective visual quality.

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Citation

Tae Hwan Lee ; Jin-Ku Kang and Byung Cheol Song
"Video denoising using overlapped motion compensation and advanced collaborative filtering", J. Electron. Imaging. 21(2), 023004 (May 10, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.023004


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