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Proceedings Paper

Simultaneous Image Identification And Restoration Using The Em-Algorithm
Author(s): Reginald L. Lagendijk; Jan Biemond; Dick E. Boekee
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Paper Abstract

In many situations of interest the degradation an image has suffered is unknown prior to the restoration process. For this reason the point-spread function of the degrading system has to be estimated directly from the available noisy blurred image. We present a maximum likelihood approach to this image identification problem, and employ the computationally efficient and flexible EM-algorithm to solve the resulting highly nonlinear optimization problem. This approach results in an efficient iterative algorithm, which simultaneously identifies and restores noisy blurred images.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968932
Show Author Affiliations
Reginald L. Lagendijk, Delft University of Technology (The Netherlands)
Jan Biemond, Delft University of Technology (The Netherlands)
Dick E. Boekee, Delft University of Technology (The Netherlands)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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