• DocumentCode
    3178943
  • Title

    A Super Resolution Algorithm for Atmospherically Degraded Images Using Lucky Regions and MAP-uHMT

  • Author

    Wen, Zhiying ; Li, Feng ; Fraser, Donald ; Lambert, Andrew ; Jia, Xiuping

  • fYear
    2009
  • fDate
    1-3 Dec. 2009
  • Firstpage
    374
  • Lastpage
    380
  • Abstract
    This paper demonstrates the possibility of super resolved image reconstruction for images affected by atmospheric turbulence. A lucky region method using bicoherence is proposed to select image tiles with superior quality or ¿lucky image regions¿ from a large number of short exposure images. A super resolved image is then reconstructed by a MAP method based on a universal hidden Markov tree model from the lucky regions. Performance is demonstrated with real data.
  • Keywords
    astronomical image processing; hidden Markov models; image reconstruction; image resolution; trees (mathematics); MAP method; MAP-uHMT; atmospheric turbulence; atmospherically degraded images; bicoherence; image reconstruction; image tiles; lucky regions; super resolution algorithm; universal hidden Markov tree; Degradation; Hidden Markov models; Image reconstruction; Image resolution; Image restoration; Optical diffraction; Optical imaging; Speckle; Surveillance; Telescopes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-5297-2
  • Electronic_ISBN
    978-0-7695-3866-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2009.94
  • Filename
    5384937
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3178943