A general formulation for iterative restoration methods

  • Authors:
  • J.P. Noonan;P. Natarajan

  • Affiliations:
  • Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1997

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Abstract

Information theory-based techniques for signal or image restoration and resolution enhancement are now considered a viable alternative to other popular techniques. In this correspondence, we present a general iterative mapping derived using an information theoretic criterion of optimality. A mathematical structure is defined followed by an analysis of the mapping, based on this structure. The convergence of the mapping is considered both in the general formulation and for a particular example. Some popular techniques are shown to be special cases of this general mapping