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Proceedings Paper

Removal of impulse noise clusters from color images with local order statistics
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Paper Abstract

This paper proposes a novel algorithm for restoring images corrupted with clusters of impulse noise. The noise clusters often occur when the probability of impulse noise is very high. The proposed noise removal algorithm consists of detection of bulky impulse noise in three color channels with local order statistics followed by removal of the detected clusters by means of vector median filtering. With the help of computer simulation we show that the proposed algorithm is able to effectively remove 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: 19 September 2017
PDF: 10 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039626 (19 September 2017); doi: 10.1117/12.2272718
Show Author Affiliations
Alexey Ruchay, Chelyabinsk State Univ. (Russian Federation)
Vitaly Kober, Chelyabinsk State Univ. (Russian Federation)
CICESE (Mexico)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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