• DocumentCode
    3375604
  • Title

    A neural net algorithm for maximum entropy image reconstruction

  • Author

    Zhuang, Xinhua ; Haralick, Robert M.

  • Author_Institution
    Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    ii
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    47
  • Abstract
    An open problem of whether or not there exists a solution to the maximum entropy image reconstruction problem is theoretically solved. The convergence of a maximum entropy image reconstruction algorithm proposed by X. Zhuang et al. (IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no.2, p.208-18, Feb. 1987) is proven and its fast convergence is derived
  • Keywords
    convergence; entropy; neural nets; picture processing; fast convergence; maximum entropy image reconstruction; neural net algorithm; picture processing; Constraint theory; Energy measurement; Entropy; Image reconstruction; Multidimensional systems; Neural networks; Noise level; Pixel; Reconstruction algorithms; Signal reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.119328
  • Filename
    119328
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3375604