Super-Resolution Restoration of MMW Image Using Sparse Representation Based on Couple Dictionaries

  • Li Shang
  • Yan Zhou
  • Liu Tao
  • Zhan-li Sun
Part of the Communications in Computer and Information Science book series (CCIS, volume 304)


This paper addresses the problem of the super-resolution restoration of a single millimeter wave image using sparse representation based on couple dictionary training. Utilizing the coefficients of the sparse representation of each low-resolution image patch, the high-resolution image patches can be generated, further, the low resolution image can be reconstructed well. The quality of a restoration MMW image was measured by the relative single noise ratio (RSNR. Compared with image restoration results of bicubic, experimental results prove that the sparse representation is effective in the super-resolution restoration of MMW.


Millimeter wave image Super-resolution Image restoration Sparse representation Couple dictionary 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Li Shang
    • 1
    • 2
  • Yan Zhou
    • 1
    • 3
  • Liu Tao
    • 1
  • Zhan-li Sun
    • 4
  1. 1.Department of Electronic Information EngineeringSuzhou Vocational UniversitySuzhouChina
  2. 2.Department of AutomationUniversity of Science and Technology of ChinaHefeiChina
  3. 3.School of Electronics and Information EngineeringSoochow UniversitySuzhouChina
  4. 4.College of Electrical Engineering and AutomationAnhui UniversityHefeiChina

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