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Impulsive noise removal from color video with morphological filtering
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Paper Abstract

This paper deals with impulse noise removal from color video. The proposed noise removal algorithm employs a switching filtering for denoising of color video; that is, detection of corrupted pixels by means of a novel morphological filtering followed by removal of the detected pixels on the base of estimation of uncorrupted pixels in the previous scenes. With the help of computer simulation we show that the proposed algorithm is able to well remove impulse noise in color video. 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: 9 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039627 (19 September 2017); doi: 10.1117/12.2272719
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. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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