Multichannel filtering by gradient information

Abstract

In this paper, multichannel image filtering using local gradient information is studied and evaluated which is simpler and more appropriate than the traditional approaches that have been addressed by means of groupwise vector ordering information. Two adaptive weighted multichannel filters based on local gradient information to noise removal in color images are introduced. The first proposed multichannel filter is rather highly effective for Gaussian and Uniform noise removal in preserving good edges. The second proposed multichannel filter is robust to Gaussian, Uniform, Impulse noise, and Gaussian noise mixed with outliers. (C) 2000 Elsevier Science B.V. All rights reserved.