• DocumentCode
    431531
  • Title

    Recursive deconvolution of multisensor imagery using finite mixture distributions

  • Author

    Giannoula, A. ; Hatzinakos, D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    2
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    637
  • Lastpage
    640
  • Keywords
    adaptive filters; deconvolution; image classification; image restoration; iterative methods; learning (artificial intelligence); optimisation; recursive estimation; sensor fusion; statistical distributions; EM algorithm; finite mixture distributions; finite mixture of normal densities; image classification; iterative deconvolution; learning; multisensor image fusion; multisensor imagery; optimized adaptive filtering; recursive deconvolution; Deconvolution; Degradation; Distributed computing; Employment; Finite impulse response filter; Image restoration; Iterative algorithms; Layout; Magnetic resonance imaging; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415485
  • Filename
    1415485
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431531