Filter of image with polarizer salt and pepper noise based on DMN

Jiannong Cao, Deren Li, Zequn Guan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


This paper studies the filter of image with polarizer salt and pepper noise based on DMN. And it is pointed that there are abilities of fine distinction of pixel in image due to the features of decaying of threshold value, and linking of node of networks. And therefore the approaches are posed for image filtering under the control of DMN. The algorithm only calculates the mean of pixels that are related noise, and place the noise pixel. And what is called sub-mean filter algorithm. It is carried out that noise image is filtered by stubborn self-adapting method. The experimental results show that the method has better behavior of filter.
Original languageEnglish
Pages (from-to)583-587
Number of pages5
JournalGeomatics and Information Science of Wuhan University
Issue number7
Publication statusPublished - 5 Jul 2005
Externally publishedYes


  • Decomposable markov networks
  • Locating of noise pixel
  • Sub-mean filter algorithm

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Earth-Surface Processes

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