Wavelet-based image denoising using a Markov random field a priori model


This paper describes a new method for the suppression of noise in images via the wavelet transform. The method relies on two measures. The first is a classic measure of smoothness of the image and is based on an approximation of the local Holder exponent via the wavelet coefficients. The second, novel measure takes into account geometrical constraints… (More)
DOI: 10.1109/83.563320


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