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  • 标题:Multi-focus Image Fusion Using De-noising and Sharpness Criterion
  • 本地全文:下载
  • 作者:Sukhdip Kaur ; Kamaljit Kaur
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2013
  • 卷号:2
  • 期号:1
  • 页码:18-22
  • 出版社:Buldanshahr : IJECSE
  • 摘要:the concept of multi-focus image fusion is used to combine multiple images with different objects in focus to obtain all the objects in focus and for better information in a scene. But the challenge is to how evaluate the information of the input images with better quality of image. In order to provide solution of this problem, a new criterion is proposed to give better quality of image using PCA, by de-noising and bilateral gradient based sharpness criterion that is evaluated using the gradient information of the images. Then the proposed method is further exploited to perform weighted aggregation of multi-focus images. The experimental results show that the proposed method is better than the other method in terms of quality matrices like Mutual information, spatial frequency and Average difference.
  • 关键词:Image fusion; Gradient Sharpness; PCA.
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