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   -> Volume 5, Issue 5


Preprint: Image noise removal via Bayesian Wavelet "coring"
 
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eero@tarpon.cis.upenn.edu (Eero Simoncelli)
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PostPosted: Wed Dec 04, 2002 9:53 am    
Subject: Preprint: Image noise removal via Bayesian Wavelet "coring"
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Preprint: Image noise removal via Bayesian Wavelet "coring"

I've just made our ICIP-96 paper, "Noise Removal via Bayesian
Wavelet Coring", available on the web. It's accessible from

http://www.cis.upenn.edu/~eero/publications.html

Abstract:

The classical solution to the noise removal problem is the Wiener
filter, which utilizes the second-order statistics of the Fourier
decomposition. Subband decompositions of natural images have
significantly non-Gaussian higher-order point statistics; these
statistics capture image properties that elude Fourier-based
techniques. We develop a Bayesian estimator that is a natural
extension of the Wiener solution, and that exploits these
higher-order statistics. The resulting nonlinear estimator
performs a ``coring" operation. We provide a simple model for
the subband statistics, and use it to develop a semi-blind
noise-removal algorithm based on a steerable wavelet pyramid.
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