%0 Journal Article
%T Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images
%A M. Emre Celebi
%A Hassan A. Kingravi
%A Y. Alp Aslandogan
%J Computer Science
%D 2010
%I arXiv
%R 10.1117/1.2772639
%X 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.
%U http://arxiv.org/abs/1009.0962v1