• DocumentCode
    1090609
  • Title

    Sectioned methods for image restoration

  • Author

    Trussell, H.J. ; Hunt, B.R.

  • Author_Institution
    University of California, Los Alamos, NM
  • Volume
    26
  • Issue
    2
  • fYear
    1978
  • fDate
    4/1/1978 12:00:00 AM
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    Locally adaptive image processing methods are constructed by sectioning the image and applying a modified MAP restoration algorithm. These local algorithms are shown to be effective in processing nonstationary images. The algorithms can work in both signal-independent and signal-dependent noise. The gains achieved by local and signal-dependent processing are analyzed.
  • Keywords
    Acoustics; Deconvolution; Image restoration; Image sensors; Linear systems; Optoelectronic and photonic sensors; Signal analysis; Signal processing; Signal restoration; Wiener filter;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1978.1163073
  • Filename
    1163073
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1090609