Nonlinear vector filtering for impulsive noise removal from color images

Mehemmed E. Celebi; Hassan A. Kingravi; Yuksel A. Aslandogan

doi:10.1117/1.2772639

1 July 2007 Nonlinear vector filtering for impulsive noise removal from color images

Mehemmed E. Celebi, Hassan A. Kingravi, Yuksel A. Aslandogan

Author Affiliations +

Journal of Electronic Imaging, Vol. 16, Issue 3, 033008 (July 2007). https://doi.org/10.1117/1.2772639

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.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Mehemmed E. Celebi, Hassan A. Kingravi, and Yuksel A. Aslandogan "Nonlinear vector filtering for impulsive noise removal from color images," Journal of Electronic Imaging 16(3), 033008 (1 July 2007). https://doi.org/10.1117/1.2772639

Published: 1 July 2007

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