An Implementation of Tunable Fuzzy Filters for Mixed Noise Reduction

Mitsuji MUNEYASU  Kouichiro ASOU  Yuji WADA  Akira TAGUCHI  Takao HINAMOTO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E84-A   No.2   pp.482-484
Publication Date: 2001/02/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Noise Cancellation and Reduction Techniques)
Category: Noise Reduction for Image Signal
Keyword: 
mixed noise reduction,  fuzzy control,  parameter optimization,  

Full Text: PDF(227.1KB)
>>Buy this Article


Summary: 
This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.