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With the introduction of compressed sensing and sparse representation,many image processing and computer vision problems have been looked at in a new way. Recent trends indicate that many challenging computer

With the introduction of compressed sensing and sparse representation,many image processing and computer vision problems have been looked at in a new way. Recent trends indicate that many challenging computer vision and image processing problems are being solved using compressive sensing and sparse representation algorithms. This thesis assays some applications of compressive sensing and sparse representation with regards to image enhancement, restoration and classication. The first application deals with image Super-Resolution through compressive sensing based sparse representation.

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    Date Created
    • 2011
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2011
      Note type
      thesis
    • Includes bibliographical references (p. 78-84)
      Note type
      bibliography
    • Field of study: Computer science

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    by Naveen Kulkarni

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