Volume 4 Issue 5
Oct.  2011
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ZHU Ming, GAO Wen, GUO Li-qiang. Application of compressed sensing theory in image processing[J]. Chinese Optics, 2011, 4(5): 441-447.
Citation: ZHU Ming, GAO Wen, GUO Li-qiang. Application of compressed sensing theory in image processing[J]. Chinese Optics, 2011, 4(5): 441-447.

Application of compressed sensing theory in image processing

  • Received Date: 21 Jul 2011
  • Rev Recd Date: 23 Aug 2011
  • Publish Date: 25 Oct 2011
  • Traditional Shannon sampling method leads to a large amount of image data, and massive data processing brings a great pressure to bear on the post-processing of image information. Compressed Sensing(CS) theory which can overcome the problem mentioned above is researched in this paper. It can reconstruct a large amount data by sampling small quantity data, and breakthroughs the restriction of Shannon sampling theory. This paper reviews the theory and key technique of CS, and introduces the application and development of CS in imaging system, image fusion, target recognition and tracking. It points out that the CS theory is an effective data processing, and more extensive applications will be come true with the development of the theory.

     

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