DocumentCode
3246761
Title
Adaptive weighted fuzzy mean filter
Author
Lee, Chang-Shing ; Kuo, Yau-Hwang
Author_Institution
Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
3
fYear
1996
fDate
8-11 Sep 1996
Firstpage
2110
Abstract
A new fuzzy filter for the removal of additive impulse noise, called the adaptive weighted fuzzy mean (AWFM) filter, is proposed and analyzed in this paper. The AWFM is an extensive version of weighted fuzzy mean (WFM) filter and its filtered output signal is either the output of WFM or the processed signal by the detection algorithm. This filter gives very superior performance compared with conventional filters when evaluated by mean absolute error (MAE), mean square error (MSE) and subjective evaluation criteria. For dedicated hardware implementation, AWFM is also much simpler than the conventional median filter
Keywords
adaptive filters; fuzzy set theory; image processing; noise; adaptive weighted fuzzy mean filter; additive impulse noise; detection algorithm; mean absolute error; mean square error; subjective evaluation criteria; Adaptive filters; Delta modulation; Design methodology; Digital images; Fuzzy sets; Hardware; Histograms; Noise level; Pixel; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552788
Filename
552788
Link To Document