• DocumentCode
    1557131
  • Title

    Restoration of error-diffused images using projection onto convex sets

  • Author

    Unal, Gozde Bozkurt ; Çetin, A. Enis

  • Author_Institution
    Electr. & Comput. Eng. Dept., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    10
  • Issue
    12
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    1836
  • Lastpage
    1841
  • Abstract
    A novel inverse halftoning method is proposed to restore a continuous tone image from a given half-tone image. A set theoretic formulation is used where three sets are defined using the prior information about the problem. A new space-domain projection is introduced assuming the halftoning is performed using error diffusion, and the error diffusion filter kernel is known. The space-domain, frequency-domain, and space-scale domain projections are used alternately to obtain a feasible solution for the inverse halftoning problem which does not have a unique solution
  • Keywords
    filtering theory; frequency-domain analysis; image restoration; inverse problems; set theory; POCS; continuous tone image; error diffusion filter kernel; error-diffused image restoration; frequency-domain projection; half-tone image; inverse halftoning; inverse halftoning method; projection onto convex sets; set theory; space domain projection; space-domain projection; space-scale domain projection; Constraint optimization; Image restoration; Information filtering; Information filters; Iterative algorithms; Iterative methods; Kernel; Low pass filters; Projection algorithms; Singular value decomposition;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.974568
  • Filename
    974568