An Improvement of Russo's Fuzzy Noise-Filtering for Image Processing |
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| Authors: | LI Shao-da YANG Rong-hao YANG Jia |
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| Affiliation: | [1]College of Earth Sciences, Chengdu University of Technology, Chengdu 610051, China [2]College of Applied Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610051, China |
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| Abstract: | We adapted Russo's image noise filtering technique by introducing an adaptive parameter, noise possibility. This parameter potentially indicates whether a pixel is noise. The improved Russo's method was applied to process the Lena image and a remote sensing image corrupted by noise. The results show that it has a stronger noise filtering ability than other traditional techniques such as Wiener filtering. |
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| Keywords: | Fuzzy filtering Smoothing Noise possibility Adaptive |
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