1 July 2007 Nonlinear vector filtering for impulsive noise removal from color images
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J. of Electronic Imaging, 16(3), 033008 (2007). doi: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.
Mehemmed E. Celebi, Hassan A. Kingravi, 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
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