• DocumentCode
    1163772
  • Title

    Restoration of turbulence degraded images using improved multi-frame blind deconvolution algorithm

  • Author

    Li, B. ; Cao, Z. ; Sang, N. ; Zhang, T.

  • Author_Institution
    State Educ. Comm. Lab. for Image Process. & Intelligent Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    40
  • Issue
    23
  • fYear
    2004
  • Firstpage
    1478
  • Lastpage
    1479
  • Abstract
    For the restoration of astronomical objects which are degraded mainly by turbulence, an improved multi-frame blind deconvolution method using the generalised expectation-maximisation (GEM) on the basis of the penalised maximum-likelihood estimation method is presented. Experimental results indicate that this method has better performance and costs less time.
  • Keywords
    astronomy computing; deconvolution; image restoration; maximum likelihood estimation; object detection; optimisation; astronomical objects; generalised expectation-maximisation; image restoration; improved multiframe blind deconvolution algorithm; penalised maximum likelihood estimation; turbulence degraded images;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20046552
  • Filename
    1358945
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1163772