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Journal of Electronic Imaging

Nonlinear vector filtering for impulsive noise removal from color images
Author(s): Mehemmed E. Celebi; Hassan A. Kingravi; Yuksel A. Aslandogan
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Paper Abstract

A comprehensive survey of 48 filters for impulsive noise removal from color images is presented. The filters are formulated using a uniform notation and categorized into 8 families. The performance of these filters is compared on a large set of images that cover a variety of domains using three effectiveness and one efficiency criteria. In order to ensure a fair efficiency comparison, a fast and accurate approximation for the inverse cosine function is introduced. In addition, commonly used distance measures (Minkowski, angular, and directional-distance) are analyzed and evaluated. Finally, suggestions are provided on how to choose a filter given certain requirements.

Paper Details

Date Published: 1 July 2007
PDF: 21 pages
J. Electron. Imaging. 16(3) 033008 doi: 10.1117/1.2772639
Published in: Journal of Electronic Imaging Volume 16, Issue 3
Show Author Affiliations
Mehemmed E. Celebi, The Univ. of Texas at Arlington (United States)
Hassan A. Kingravi, The Univ. of Texas at Arlington (United States)
Yuksel A. Aslandogan, The Univ. of Texas at Arlington (United States)


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