A rigid POCS extension to a Poisson super-resolution algorithm

  • Authors:

  • D. Keightley;B. R. Hunt

  • Affiliations:

  • -;-

  • Venue:
  • ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
  • Year:
  • 1995

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Abstract

A model-based iterative Poisson maximum aposteriori (MAP) algorithm is extended to include a rigid projection on convex sets (POCS) step. Such an extension yields a significantly faster convergence to a perceptually and measurably better estimate of a class of objects. Both the MAP and POCS approaches have been shown to be highly successful at incorporating prior knowledge into nonlinear restoration schemes. This work shows a method for improving the restoration capabilities of an iterative MAP deconvolution technique by using spatial constraints in a POCS enhancement which shrinks the space of feasible solutions and suggests directions for future refinements.