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

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

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面1027-1030
頁數4
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
持續時間: 1996 九月 161996 九月 19

Other

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

All Science Journal Classification (ASJC) codes

  • 硬體和架構
  • 電腦視覺和模式識別
  • 電氣與電子工程

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