Fuzzy random impulse noise reduction method

doi:10.1016/j.fss.2006.10.010

2007-02-01

PRE

Stefan Schulte *

Valérie De Witte

Mike Nachtegael

Dietrich Van der Weken

Etienne Kerre

DOI：10.1016/j.fss.2006.10.010

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摘要

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.

Keyword:

fuzzy filter

impulse noise

image restoration

alpha-stable noise

期刊

Fuzzy Sets and Systems

IF:

2.7

论文数:

7.6K

被引数:

1.5W

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