Title :
Adaptive WFM filter with noise detection capability
Author :
Lee, Chang-Shing ; Kuo, Yau-Hwang
Author_Institution :
Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
A new fuzzy filter for the removal of additive impulse noise, called adaptive weighted fuzzy mean (AWFM) filter, is proposed and analyzed. The AWFM is an extensive version of weighted fuzzy mean (WFM) filter and its filtered output signal is either the output of the WFM or the processed signal decided by the detection algorithm. This filter gives a better performance compared with conventional filters when evaluated by the mean absolute error (MAE), mean square error (MSE) and subjective evaluation criteria. For dedicated hardware implementation, the AWFM is also much simpler than the conventional median filter
Keywords :
adaptive filters; adaptive signal detection; adaptive signal processing; filtering theory; fuzzy set theory; image processing; median filters; noise; MSE; adaptive WFM filter; adaptive weighted fuzzy mean filter; additive impulse noise removal; dedicated hardware implementation; detection algorithm; experimental results; filter performance; filtered output signal; fuzzy set theory; image processing; image transmission; mean absolute error; mean square error; median filter; noise detection; subjective evaluation; weighted fuzzy mean filter; Adaptive filters; Additive noise; Fuzzy sets; Hardware; Histograms; Information filtering; Information filters; Noise level; Pixel; Signal processing;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567336
