NDLI: An interpolation-fltering method for noise-corrupted images

Content Provider	IEEE Xplore Digital Library
Author	Courmontagen, P. Cavassilas, J.F.
Copyright Year	1997
Description	Author affiliation: Univ. de Toulon et du Var, La Valette du Var, France (Courmontagen, P.)
Abstract	We develop an interpolation method, that allows image filtering at the same time, for both additive and multiplicative noise. The noise-corrupted image is divided into several subimages, each of them is expanded into a series of uncorrelated coefficients. The basis functions are stochastic matched filters: they are obtained by solving an integral equation whose discrete form is similar to a generalized eigenvalues problem. Next, the Fourier coefficients of the interpolated-filtered subimages are determined according to the uncorrelated variables, and according to the Fourier coefficients of the stochastic matched filters. Finally, the interpolated-filtered image is obtained by reconstruction. In order not to have a blurred image as a result, each subimage is treated differently from the other. So that, this treatment is linear for the subimages and nonlinear for the entire image. Simulations on images containing 256/spl times/256 pixels are given for both an additive and a multiplicative noise case.
Starting Page	1091
Ending Page	1094
File Size	837505
Page Count	4
File Format	PDF
ISBN	0780341376
DOI	10.1109/ICDSP.1997.628555
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-02
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additive noise Matched filters Interpolation Filtering Stochastic resonance Integral equations Eigenvalues and eigenfunctions Stochastic processes Image reconstruction Pixel
Content Type	Text
Resource Type	Article

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