Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

Details Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

2010-09-06

arxiv.org/abs/1009.0962v1

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.

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