Spatiotemporal wavelet maximum a posteriori estimation for video denoising

Pavel A. Khazron; Ivan W. Selesnick

doi:10.1117/1.3514739

1 October 2010 Spatiotemporal wavelet maximum a posteriori estimation for video denoising

Pavel A. Khazron, Ivan W. Selesnick

Author Affiliations +

Journal of Electronic Imaging, Vol. 19, Issue 4, 043015 (October 2010). https://doi.org/10.1117/1.3514739

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.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Pavel A. Khazron and Ivan W. Selesnick "Spatiotemporal wavelet maximum a posteriori estimation for video denoising," Journal of Electronic Imaging 19(4), 043015 (1 October 2010). https://doi.org/10.1117/1.3514739

Published: 1 October 2010

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