Spatiotemporal wavelet maximum a posteriori estimation for video denoising

Pavel A. Khazron, Ivan Selesnick

Research output: Contribution to journalArticle

Abstract

We examine one way to extend recently proposed waveletbased 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, convolutionbased implementations.

Original languageEnglish (US)
Article number043015
JournalJournal of Electronic Imaging
Volume19
Issue number4
DOIs
StatePublished - Oct 2010

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Image denoising
coefficients
spatial dependencies

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Atomic and Molecular Physics, and Optics

Cite this

Spatiotemporal wavelet maximum a posteriori estimation for video denoising. / Khazron, Pavel A.; Selesnick, Ivan.

In: Journal of Electronic Imaging, Vol. 19, No. 4, 043015, 10.2010.

Research output: Contribution to journalArticle

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