25 October 1988 Simultaneous Image Identification And Restoration Using The Em-Algorithm
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Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968932
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reginald L. Lagendijk, Reginald L. Lagendijk, Jan Biemond, Jan Biemond, Dick E. Boekee, Dick E. Boekee, } "Simultaneous Image Identification And Restoration Using The Em-Algorithm", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968932; https://doi.org/10.1117/12.968932
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