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題 名 | Multi-Dimensional WFM Filter and its Hardware Realization for Impulse Noise Removal=多維加權模糊均值濾波器於突波雜訊去除及其硬體實現 |
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作 者 | 郭耀煌; 李健興; 陳朝烈; | 書刊名 | Proceedings of the National Science Council : Part A, Physical Science and Engineering |
卷 期 | 22:5 1998.09[民87.09] |
頁 次 | 頁677-690 |
分類號 | 448.5 |
關鍵詞 | 多維加權模糊均值濾波器; 突波雜訊; WFM; MWFM; Color image filtering; Fuzzy detector; Dynamic selector; Generic LR fuzzy cells; |
語 文 | 英文(English) |
中文摘要 | 本文提出並分析一個多維加權模糊均值瀘波器(MWFM filter)於彩色影像復原之方 法。MWFM為加權模糊均值濾波器(WFM filter)再加上一模糊檢測器(fuzzy detector0及動態 選擇器(dynamic selector)來解決WFM filter在細微訊號處理的問題。模糊檢測器使用兩個模 糊區間並參考WFM filter之輸出來檢測突波雜訊(additive impulse noise)之振幅,其檢測效能 與穩定度比傳統檢測器好。動態選擇器經由WFM filter與模糊檢測器之輸出結果來決定此 濾波器之最後輸出。經由動態選擇的方法,MWFM filter不但可以保有WFM filter在處理高 雜訊影像時之高穩定性。更可改善WFM filter在低雜訊影像之處理能力。所以,不論欲處 理之影像有無損毀,甚至完全被突波雜訊所污損,MWFM filter皆能有效的處理。本濾波器 中的各個重要硬體單元由LR模糊基本元件所合成,其硬體複雜度遠比中間值濾波器(Median filter)簡單。該基本元件採用類比電流模式的技術以達到高速、低功率、小電路面積的目標, 每一個基本元件都同時地執行每秒6,600,000模糊推論,實為一高速的濾波器。 |
英文摘要 | A Multi-dimensional Weighted Fuzzy Mean (MWFM) filter used in color image filtering is proposed and analyzed in this paper. MWFM is an extension of the Weighted Fuzzy Mean (WFM) filter with embedding of a fuzzy detector and a dynamic selector into WFM to overcome the poor performance of WFM in detail signal preservation. The fuzzy detector uses two fuzzy intervals and refers to the WFM-filtered outputs to detect the amplitude of impulse noise which will be used by the dynamic selector. Its detection capability is better than that of the conventional detector weighted by a crisp interval. Moreover, it results in high stability over the full range of noise occurrence probability. By means of the dynamic selection approach, MWFM not only preserves the high stability and performance of WFM in removing heavy additive impulse noise, but also improves the performance of WFM for light additive impulse noise. Therefore, it can filter corrupted color images well under from noise-free noise-free conditions to noise-full conditions. For dedicated hardware implementation, the kernel of the MWFM filter, WFM, is synthesized using generic LR fuzzy cells which realize high-speed fuzzy inference. The hardware complexity is much simpler than that of the conventional median filter, and simulation results show that up to 6.6 M pixels per second can be filtered by a WFM filter with a small chip area. |
本系統中英文摘要資訊取自各篇刊載內容。