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Proceedings Paper

Detectors of impulsive noise and new effective filters for impulsive noise reduction
Author(s): Igor N. Aizenberg; Jaakko T. Astola; Taras Bregin; Constantine Butakoff; Karen O. Egiazarian; Dmitriy Paliy
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Paper Abstract

As it is known, the impulsive noise appears on the image in the form of randomly distributed pixels of random brightness. Impulses themselves usually differ much from the surrounding pixels in brightness. The main topic of the paper is the introduction of the new impulse detection criteria, and their application to such filters as median, rank-order and cellular neural Boolean. Three impulse detectors are considered. The Rank Impulse Detector uses such property of impulse that its rank in variation series is usually quite different from rank of the median. Exponential Median Detector uses the exponent of the difference between the local median and the value of pixel to detect the impulse. Combination of these two detectors forms the Enhanced Rank Impulse Detector and integrates advantages of both of them. In combination with filter it allows iterative filtering without further image destruction.

Paper Details

Date Published: 28 May 2003
PDF: 10 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.477716
Show Author Affiliations
Igor N. Aizenberg, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Taras Bregin, Tampere Univ. of Technology (Finland)
Constantine Butakoff, Tampere Univ. of Technology (Finland)
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)
Dmitriy Paliy, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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