Efficient impulse noise reduction via local directional gradients and fuzzy logic

  • Authors:

  • Hsiang-Chieh Chen;Wen-June Wang

  • Affiliations:

  • Department of Electrical Engineering, National Central University, Jhongli, Taiwan, ROC;Department of Electrical Engineering, National Central University, Jhongli, Taiwan, ROC and Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, ROC

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2009

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Abstract

This paper proposes an efficient noise reduction method for image restoration. A novel pixel classification method by using fuzzy logic and local gradients is first introduced to discriminate noise and noise-free pixels from corrupted images. Then, a switching filtering scheme is employed to noisy images. The noise pixels will be filtered by a weighted median filter with adaptive weights when the noise-free pixels are preserved in the filtered images. Both numerical comparisons and perceptual observations are demonstrated in the experimental simulations. It is found that the proposed method achieves a fairly better performance than a number of other existing methods in noise reduction and image restoration.