Fuzzy rule-based signal processing and its application to image restoration
Fuzzy rule-based signal processing and its application to image restoration
复制标题
基于模糊规则的信号处理及其在图像恢复中的应用
DOI：
10.1109/49.339917
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
K. Arakawa
中科院分区：
文献类型：
--
作者：
K. Arakawa
提出了一种新的基于模糊规则的信号处理技术，用于估计受加性随机噪声污染的非平稳信号，如图像信号。在该滤波器中，模糊规则之间的关系的信号特性和滤波器的设计被用来设置滤波器的参数，考虑到信号的局部特性。模糊规则被发现是相当有效的，因为规则设置的过滤器参数通常表示在一个模糊的风格。该滤波器的高性能表现在1-D测试信号和具有各种训练信号的自然图像的降噪中。>
A novel signal processing technique based on fuzzy rules is proposed for estimating nonstationary signals, such as image signals, contaminated with additive random noises. In this filter, fuzzy rules concerning the relationship between signal characteristics and filter design are utilized to set the filter parameters, taking the local characteristics of the signal into consideration. The fuzzy rules are found to be quite effective, since the rules to set the filter parameters are usually expressed in an ambiguous style. The high performance of this filter is demonstrated in noise reduction of a 1-D test signal and a natural image with various training signals. >