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Fuzzy random impulse noise reduction method

delete2007-02-01
delete95
PRE
AI
S
Stefan Schulte *
V
Valérie De Witte
M
Mike Nachtegael
D
Dietrich Van der Weken
E
Etienne Kerre
DOI：10.1016/j.fss.2006.10.010delete
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Abstract

Abstract

En 中文
A new two-step fuzzy filter that adopts a fuzzy logic approach for the enhancement of images corrupted with impulse noise is presented in this paper. The filtering method (entitled as Fuzzy Random Impulse Noise Reduction method (FRINR)) consists of a fuzzy detection mechanism and a fuzzy filtering method to remove (random-valued) impulse noise from corrupted images. Based on the criteria of peak-signal-to-noise-ratio (PSNR) and subjective evaluations we have found experimentally, that the proposed method provides a significant improvement on other state-of-the-art methods. (c) 2006 Elsevier B.V All rights reserved.
Keywords:
fuzzy filter
impulse noise
image restoration
alpha-stable noise

Journal

Fuzzy Sets and Systems cover
Fuzzy Sets and Systems
IF:
2.7
Papers:
7.6K
Citations:
1.5W

Organization

No organization information available