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

Abstract

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

Topics

16 Figures and Tables

Statistics

0102030'97'99'01'03'05'07'09'11'13'15'17
Citations per Year

266 Citations

Semantic Scholar estimates that this publication has 266 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics