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Nonlinear vector filtering for impulsive noise removal from color images

[+] Author Affiliations
M. Emre Celebi

Louisiana State University in Shreveport, Department of Computer Science, Shreveport, Louisiana 71115

Hassan A. Kingravi

Georgia Institute of Technology, Department of Computer Science, Atlanta, Georgia 30332

Y. Alp Aslandogan

Prairie View A&M University, Department of Computer Science, Prairie View, Texas 77446

J. Electron. Imaging. 16(3), 033008 (October 01, 2007). doi:10.1117/1.2772639
History: Received July 03, 2006; Revised January 20, 2007; Accepted February 05, 2007; Published October 01, 2007
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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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© 2007 SPIE and IS&T

Topics

Denoising

Citation

M. Emre Celebi ; Hassan A. Kingravi and Y. Alp Aslandogan
"Nonlinear vector filtering for impulsive noise removal from color images", J. Electron. Imaging. 16(3), 033008 (October 01, 2007). ; http://dx.doi.org/10.1117/1.2772639


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