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arXiv · 1009.0962

Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

M. Emre Celebi·Hassan A. Kingravi·Y. Alp Aslandogan
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Abstract

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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M. Emre Celebi, Hassan A. Kingravi, Y. Alp Aslandogan. 2010-09-06. Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images. https://doi.org/10.1117/1.2772639

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