A new image mixed noise removal algorithm based on measuring of medium truth scale

  • Authors:

  • Ning-Ning Zhou;Long Hong

  • Affiliations:

  • School of Computing, Nanjing University of Posts and Telecommunications, Nanjing, PRC and State Key Laboratory of Software Development Environment, Beihang University, Beijing, PRC;School of Computing, Nanjing University of Posts and Telecommunications, Nanjing, PRC and State Key Laboratory of Software Development Environment, Beihang University, Beijing, PRC

  • Venue:
  • ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
  • Year:
  • 2010

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Abstract

The medium mathematics system is another mathematical tool which deals with fuzzy and uncertain problem. According to the analysis of the features of the image mixed noise, this paper introduces a new image mixed noise removal algorithm based on measuring of medium truth scale. It uses the distance ratio function to detect the noise pixel and to restore the image. The experimental results demonstrate that the new image mixed noise removal algorithm can do better in smoothing mixed noise and preserving details than the classical ones do in subjective aspect and objective aspect, which will lead to its practicable and effective applications in mixed noise removal and image restoration.