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Proceedings Paper

Clustered impulse noise removal from color images with spatially connected rank filtering
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Paper Abstract

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs two classical approaches for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of local rank filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse noise and clustered impulse noise. The performance of the proposed algorithm is compared in terms of image restoration metrics with that of common successful algorithms.

Paper Details

Date Published: 27 September 2016
PDF: 10 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712Y (27 September 2016); doi: 10.1117/12.2236785
Show Author Affiliations
Alexey Ruchay, Chelyabinsk State Univ. (Russian Federation)
Vitaly Kober, Chelyabinsk State Univ. (Russian Federation)
Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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