19 September 2017 Removal of impulse noise clusters from color images with local order statistics
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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.
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Alexey Ruchay, Vitaly Kober, "Removal of impulse noise clusters from color images with local order statistics", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039626 (19 September 2017); doi: 10.1117/12.2272718; https://doi.org/10.1117/12.2272718
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