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Summary: Proceedings of IEEE International Conference on Image Processing-2003 (ICIP'2003), vol. 3, pp. 357-360
EFFECTIVE DETECTION AND ELIMINATION OF
IMPULSIVE NOISE WITH A MINIMAL IMAGE SMOOTHING
Igor Aizenberg, Jaakko Astola, Constantine Butakoff, Karen Egiazarian and Dmitriy Paliy
International Center for Signal Processing, Tampere University of Technology,
Korkeakoulunkatu 1/PO Box 553, FIN-33720, Tampere, Finland,
E-mail: igora@netvision.net.il (IA), jta@cs.tut.fi (JA),
cbutakoff@yahoo.com (CB), karen@cs.tut.fi (KE), paliy@cs.tut.fi (DP)
ABSTRACT
Impulsive noise filtering is an important problem of
image processing. The problem of noise elimination is
closely connected with the problem of maximal preservation
of image edges. The requirement of maximal preservation of
edges is especially important for images corrupted by
impulsive noise with a low corruption rate. To avoid
smoothing of the image during filtering, all noisy pixels
must be detected. Then only these detected pixels must be
corrected. We present in this paper two solutions to the edge
preservation problem. The first one is an impulse detector.
This detector is based on a comparison of signal samples
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