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

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

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

A hardware design method for 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 amount of input samples which is also much simpler than the conventional median filter. The simulation and chip layout exhibits that up to 90 256×256 images can be filtered per second by the very small-sized WFM filter.

Original languageEnglish
Pages1027-1030
Number of pages4
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: 1996 Sep 161996 Sep 19

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period96-09-1696-09-19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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