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Paper data
Anisotropic Wavelet Thresholding For Bayesian Image Denoising

Jacovitti Giovanni, University "La Sapienza" of ROME
Neri Alessandro, University ROMA TRE

Page numbers in the proceedings:
Volume III pp 267-270

Image Representation and Transformation

Paper abstract
A new technique for noise suppression in images by wavelet thresholding is presented. The technique focuses on perceptual relevant features, using a multiscale edge oriented wavelet representation. A orientation-dependent zero-memory non-linear soft thresholding rule is defined in the framework of Bayesian MMSE estimation.

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