Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-09-06
Journal of Electronic Imaging 16 (2007) 033008
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
10.1117/1.2772639
In this paper, 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.
Aslandogan Alp Y.
Celebi Emre M.
Kingravi Hassan A.
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