• DocumentCode
    2001882
  • Title

    New constraints for set-theoretic image restoration with artifact suppression

  • Author

    Sezan, M. Ibrahim ; Trussell, H. Joel

  • Author_Institution
    Eastman Kodak Co., Rochester, NY, USA
  • fYear
    1989
  • fDate
    6-8 Sep 1989
  • Firstpage
    175
  • Lastpage
    176
  • Abstract
    Summary form only given. The use of two new constraints in image restoration using set-theoretic algorithms has been investigated. The constraints aim to reduce the signal-dependent and filtered noise artifacts in the resulting restoration. The first constraint proposed is the `bounded variation from the Wiener solution´ constraint. The second is a continuously varying smoothness constraint
  • Keywords
    interference suppression; picture processing; set theory; Wiener solution; artifact suppression; bounded variation; continuously varying smoothness constraint; filtered noise artifacts; image restoration; set-theoretic algorithms; signal dependent artifacts; Degradation; Frequency domain analysis; Frequency estimation; Frequency response; Image restoration; Large scale integration; Noise reduction; Projection algorithms; Signal restoration; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multidimensional Signal Processing Workshop, 1989., Sixth
  • Conference_Location
    Pacific Grove, CA
  • Type

    conf

  • DOI
    10.1109/MDSP.1989.97102
  • Filename
    97102
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2001882