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Journal of Electronic Imaging

Spatiotemporal wavelet maximum a posteriori estimation for video denoising
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Paper Abstract

We examine one way to extend recently proposed wavelet-based maximum a posteriori estimation rules for image denoising to video. The proposed approach takes into account both spatial and temporal dependencies between wavelet coefficients, and is general enough to incorporate different spherically contoured prior distributions on noiseless coefficients, as well as different spatiotemporal coefficient neighborhoods. Presented extensions of the algorithm have reasonable complexity and are suited to vectorized, convolution-based implementations.

Paper Details

Date Published: 1 October 2010
PDF: 14 pages
J. Electron. Imag. 19(4) 043015 doi: 10.1117/1.3514739
Published in: Journal of Electronic Imaging Volume 19, Issue 4
Show Author Affiliations
Pavel A. Khazron, Polytechnic Institute of NYU (United States)
Ivan W. Selesnick, Polytechnic Institute of NYU (United States)

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