10 May 2012 Video denoising using overlapped motion compensation and advanced collaborative filtering
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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.
© 2012 SPIE and IS&T
Tae Hwan Lee, Jin-Ku Kang, Byung Cheol Song, "Video denoising using overlapped motion compensation and advanced collaborative filtering," Journal of Electronic Imaging 21(2), 023004 (10 May 2012). https://doi.org/10.1117/1.JEI.21.2.023004 . Submission:
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