Design of high speed weighted fuzzy mean filters with generic LR fuzzy cells

Author

Chen, Chao-Lieh ; Lee, Chang-Shing ; Kuo, Yau-Hwang

Author_Institution

Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

1027

Abstract

A hardware design method for a high-speed weighted fuzzy mean (WFM) filter is proposed in this paper. The WFM filter is powerful for removing heavy additive impulse noises from images. When the probability of occurrence of mixed impulse noises is over 0.3, the WFM filter can recover the noise-corrupted image quite well in contrast with several conventional filters. For the dedicated hardware implementation, the WFM filter is synthesized with the generic LR fuzzy cells which realize high speed fuzzy inference. The hardware complexity corresponds to the amount of input samples which is also much simpler than the conventional median filter. The simulation and chip layout exhibit that up to 90 256×256 images can be filtered per second by the very small-sized WFM filter

Keywords

application specific integrated circuits; circuit analysis computing; computational complexity; digital filters; image processing; integrated circuit layout; interference suppression; optical noise; 256 pixel; 65536 pixel; WFM filter; additive impulse noises; chip layout; generic LR fuzzy cells; hardware complexity; hardware design method; hardware implementation; high speed fuzzy inference; high speed weighted fuzzy mean filters; mixed impulse noises; noise-corrupted image; simulation; Additive noise; Chaotic communication; Design engineering; Filtering; Fuzzy sets; Hardware; Nonlinear filters; Pixel; Power engineering and energy; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.561082

Filename

561082