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  • 标题:Multi-focus Image Fusion with Cartoon-Texture Image Decomposition
  • 本地全文:下载
  • 作者:Yongxin Zhang ; Hongan Li ; Zhihua Zhao
  • 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:1
  • 页码:213-224
  • DOI:10.14257/ijsip.2015.8.1.19
  • 出版社:SERSC
  • 摘要:Multi-focus image fusion can fuse multiple source images with different focus settings into a single image that appears sharper. How to effectively and completely represent the source images is the key to multi-focus image fusion. A multi-component fusion method is proposed for multi-focus image fusion. The registered source images are decomposed into cartoon and texture components by cartoon-texture image decomposition. The salient features are selected from the cartoon and texture components respectively to form a composite feature space. The local features that represent the salient information of the source images are integrated to construct the fused image. According to the visual perception and objective evaluations on the fused images, the proposed method works better in extracting the focused regions and improving the fusion quality, compared with the other existing single-component fusion methods.
  • 关键词:image fusion; cartoon-texture image decomposition; cartoon-texture; Split ; Bregman iteration; sliding window
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