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

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Abstract

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.

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Acknowledgments

Authors expressed deep sense of gratitude toward the Department of Computer Science & Engineering, University of Kalyani, and the PURSE Project, DST, Govt. of India, where the computational resources are used for the work.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Aryabhatta Institute of Engineering & Management Durgapur, Durgapur, 713148, India

    Somnath Mukhopadhyay

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, 741235, India

    J. K. Mandal

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  1. Somnath Mukhopadhyay
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  2. J. K. Mandal
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Correspondence to J. K. Mandal.

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Mukhopadhyay, S., Mandal, J.K. A Fuzzy Switching Median Filter of Impulses in Digital Imagery (FSMF). Circuits Syst Signal Process 33, 2193–2216 (2014). https://doi.org/10.1007/s00034-014-9739-z

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  • DOI: https://doi.org/10.1007/s00034-014-9739-z

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