Paper data
Title:
Anisotropic Wavelet Thresholding For Bayesian Image Denoising Author(s): Jacovitti Giovanni, University "La Sapienza" of ROME Neri Alessandro, University ROMA TRE Page numbers in the proceedings: Volume III pp 267-270 Session: 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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