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Adaptive histogram-based filter for image restoration

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Journal of Electronics (China)

Abstract

A novel filter for image restoration is proposed in this paper. The filter estimates histogram of original image via input image. It gets a membership function through the histogram, and the membership function contains a lot of information of original image. Then a weighted fuzzy mean filter is established based on this membership function; meanwhile, the filter adaptively adopts different filter scale according to the character divergence of image region and intensity of impulsive noise. Experimental result shows that new filter gives superior performance to conventional filters and currently used fuzzy filter.

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Authors and Affiliations

  1. School of Electronics Engineering, Xidian University, 710071, Xi’an

    Wang Baoping, Fan Jiulun, Xie Weixin & Wu Chengmao

  2. Dept of Info. and Control, Xi’an Institute of Post and Telecomm., 710061, Xi’an

    Fan Jiulun & Wu Chengmao

  3. Institute of Information Eng., Shenzhen University, 518060, Shenzhen

    Xie Weixin

Authors
  1. Wang Baoping
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  2. Fan Jiulun
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  3. Xie Weixin
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  4. Wu Chengmao
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Additional information

Supported by the National Natural Science Foundation of China(No.69972041)

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Cite this article

Wang, B., Fan, J., Xie, W. et al. Adaptive histogram-based filter for image restoration. J. of Electron.(China) 21, 306–313 (2004). https://doi.org/10.1007/BF02687886

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  • DOI: https://doi.org/10.1007/BF02687886

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