This paper is concerned with image denoising approaches. The detail exponents of image transformed by Wavelet have been proved its significant heavy-tails nature. The alpha stable distribution has a generality to represent heavy-tailed and impulsive nature. However, the probability density function of such a statistics model has no closed expression. Based on a tractable approximation, BCGM model, maximum a posteriori (MAP) shrinkage is proposed for removing additive. Since the prior distributions are analytically known after BCGM is introduced, MAP approach becomes now more tractable than fore methods.
BCGM based MAP denoising in wavelet domain
01.06.2010
1591213 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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