A Fuzzy Switching Median Filter of Impulses in Digital Imagery (FSMF)

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• 作者：Somnath Mukhopadhyay (1)
  J. K. Mandal (2)
  
• 关键词：ANDWP ; Fuzzy membership function ; Image denoising ; RVN ; SPN ; Weighted median filter
• 刊名：Circuits, Systems, and Signal Processing
• 出版年：2014
• 出版时间：July 2014
• 年：2014
• 卷：33
• 期：7
• 页码：2193-2216
• 全文大小：
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• 作者单位：Somnath Mukhopadhyay (1)
  J. K. Mandal (2)
  
  1. Department of Computer Science and Engineering, Aryabhatta Institute of Engineering & Management Durgapur, Durgapur, 713148, India
  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, 741235, India
  
• ISSN：1531-5878

文摘

This paper proposed a fuzzy-based switching technique that aims at detection and filtering of impulse noises from digital images. Two types of noise models are used to obtain the noisy images. In this two-step process, the noise-free pixels are remained unchanged. The proposed detection algorithm uses 5 \(\times \) 5 window, based on all neighboring pixels on the center of the window of a noisy pixel. Two weighted median filters are devised, and a particular one is applied selectively to the noisy pixel based on the characteristics of the neighboring pixels within the window. Instead of a single threshold, two threshold values are used in the proposed fuzzy membership function to partition the noise level, and accordingly, a filtering method is applied to restore the corrupted pixel. Experimental results show that the proposed technique outperforms the existing impulse denoising methods in terms of peak signal-to-noise ratio and visual effects, with a comparable time complexity with the existing methods.