An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a switching scheme for salt and pepper noise reduction by combining a noise detection algorithm based on a simplified pulse coupled neural network (PCNN) with a simple adaptive median filter. The simplified PCNN utilizes an adaptive synaptic weight matrix created by anisotropic linking mechanism to achieve anisotropic linking model, that is the interconnections between neurons with large absolute difference in intensity will be interrupted. Therefore, the neurons corresponding to noise corrupted pixels will receive smaller feedback signal from the neighborhood and generate smaller internal activities compare with the ones corresponding to noise free pixels. The impulse will be detected by setting an appropriate dynamic threshold. After the PCNN based noise detection scheme, the pixels contaminated by salt and pepper noise will be restored by a simple adaptive median filter. Experimental results prove that the proposed switching median filter outperform over the conventional methods in both noise reduction and detail preserving.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
Pages233-238
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 - Kitakyushu
Duration: 2010 Dec 152010 Dec 17

Other

Other2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
CityKitakyushu
Period10/12/1510/12/17

Fingerprint

Pulse Coupled Neural Network
Median Filter
Median filters
Noise Reduction
Noise abatement
Acoustic noise
Salt
Linking
Adaptive Filter
Pixel
Pixels
Adaptive filters
Salts
Neural networks
Neurons
Neuron
Interconnection
Impulse
Internal
Feedback

Keywords

  • Adaptive median filter
  • Impulse noise
  • Pulse coupled neural network
  • Switching scheme

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Shi, Z., & Furuzuki, T. (2010). An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. In Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 (pp. 233-238). [5716310] https://doi.org/10.1109/NABIC.2010.5716310

An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. / Shi, Zhan; Furuzuki, Takayuki.

Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010. 2010. p. 233-238 5716310.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shi, Z & Furuzuki, T 2010, An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. in Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010., 5716310, pp. 233-238, 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010, Kitakyushu, 10/12/15. https://doi.org/10.1109/NABIC.2010.5716310
Shi Z, Furuzuki T. An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. In Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010. 2010. p. 233-238. 5716310 https://doi.org/10.1109/NABIC.2010.5716310
Shi, Zhan ; Furuzuki, Takayuki. / An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010. 2010. pp. 233-238
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