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文章基本信息

  • 标题:A Study on Sparse Representation Model of Image Denoising Method
  • 本地全文:下载
  • 作者:Zhu Qiang ; Chen Yang
  • 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:10
  • 页码:1-10
  • DOI:10.14257/ijsip.2015.8.10.01
  • 出版社:SERSC
  • 摘要:Image denoising is a basic problem in image processing, due to the image structure has the characteristic of self-similar, using the ideas of nonlocal, this paper proposes a non-local denoising method based on sparse representation, the structure information of image is improved after denoising, at the same time making similar image tiles have similar sparse representation, image reconstruction effect is better, through the numerical simulation the results show that the method has good application value
  • 关键词:Image denoising; Sparse representation. Nonlocal idea; Image construction
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