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Journal of Electronic Imaging

Video denoising using overlapped motion compensation and advanced collaborative filtering
Author(s): Tae Hwan Lee; Jin-Ku Kang; Byung Cheol Song
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Paper 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.

Paper Details

Date Published: 10 May 2012
PDF: 8 pages
J. Electron. Imaging. 21(2) 023004 doi: 10.1117/1.JEI.21.2.023004
Published in: Journal of Electronic Imaging Volume 21, Issue 2
Show Author Affiliations
Tae Hwan Lee, Inha Univ. (Korea, Republic of)
Jin-Ku Kang, Inha Univ. (Korea, Republic of)
Byung Cheol Song, Inha Univ. (Korea, Republic of)

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