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文章基本信息

  • 标题:Image Restoration Based on Quadtree Data Structures
  • 本地全文:下载
  • 作者:Yanhua Ma
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:8
  • 页码:151-158
  • DOI:10.14257/ijsip.2015.8.8.17
  • 出版社:SERSC
  • 摘要:This paper investigates the problem of image restoration when the image is corrupted by Pepper-and-salt noise and proposes a new restoration algorithm based on quadtree data structures. The crucial parts of the algorithm are picking noise and fuzzy estimation, so that unlike some other usual denoising methods, it avoids blurring and averaging edges and non-noise pixels. This paper describes, analyzes and compares several methods and results of removing noise from image. Experimental results indicate that the new algorithm proposed by this paper is superior
  • 关键词:Image restoration; image reconstruction; image denoising; fuzzy estimation; ; Quadtree Data Structures
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