• DocumentCode
    3415181
  • Title

    Improved wiener filter super-resolution algorithm for passive millimeter wave imaging

  • Author

    Zhao, Kang ; Wang, Jianguo

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1768
  • Lastpage
    1771
  • Abstract
    The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations??thus necessitating some efficient post-processing to achieve resolution improvements. In this paper, we propose an improved wiener filter super-resolution algorithm. The algorithm uses iterative process of incremental wiener filter in wavelet threshold shrinkage to remove noise and increase the restored image information. Experimental results demonstrate the algorithm enhances the resolution and reduces the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the algorithm is easily implemented for passive millimeter wave imaging.
  • Keywords
    Wiener filters; image resolution; image restoration; iterative methods; millimetre wave imaging; Wiener filter super-resolution algorithm; antenna size limitations; image information; image restoration; iterative process; noise removal; passive millimeter wave imaging; resolution improvement; ringing effects; wavelet threshold shrinkage; Deconvolution; Image resolution; Image restoration; Imaging; Millimeter wave technology; Noise; Wiener filter; Passive millimeter wave imaging; super-resolution; wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159913
  • Filename
    6159913