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  • 标题:Image Enhancement Of Under Water Images Using Structured Preserving Noise Reduction Algorithm
  • 本地全文:下载
  • 作者:D.Napoleon ; M.Praneesh
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:10-3
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper presents SUSAN (Structure Preserving Noise Reduction algorithm) for gray scale images contaminated by traditional median noise. Remote sensing images are affected by different types of noise like Gaussian noise, Speckle noise and impulse noise. These noises are introduced into the under water images during acquisition or transmission process. In this paper traditional median filter and structured preserving noise reduction Algorithm is used for reduce the noise rate, when compare to this filter and SUSAN Algorithm, Structured Preserving Noise Reduction gives better results.
  • 关键词:Traditional median filter; structure preserving noise reduction algorithm
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