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  • 标题:Multifocus Image Fusion Using Sparse Representation by Adaptive Feature Matching
  • 本地全文:下载
  • 作者:Madhu C K ; Arjun B C ; Prapulla Kumar M S
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:8
  • 出版社:S.S. Mishra
  • 摘要:Optical imaging cameras suffer from the problem of limited depth-of-field of optical lenses, so it is difficult to get an image with all objects in focus. One way to overcome this problem is by using multi-focus image fusion technique, in which several images with different focus points are combined to form a single image with all objects fully focused. So, it is crucial to effectively extract the image information of the original images and reasonably combine them into the final fusion image. The main concern regarding this approach is to represent source image in sparse coefficients from an over-complete dictionary and fuse by OMP algorithm. The proposed method is tested on several multifocus images and compared with Discrete Wavelet Transform based method. The existing method had many lack of disabilities to produce effective image which is of reduced blurring effects and shift variance, which may overcome by this method with better outcomes
  • 关键词:Image Fusion; OMP algorithm; Multifocus Image; Sparse Representation; Over complete Dictionary
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