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Proceedings Paper

Restoration of quantum-limited images by convex projections
Author(s): Henry Stark; Jane L. Wurster; Yongyi Yang
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Paper Abstract

We propose a new algorithm for restoring quantum limited images. The algorithm is based on projection methods but uses constraint sets in which set membership is based on probabilistic measures. Such constraints can be regarded as soft, as opposed to hard constraints in which less latitude is given in defining set membership. We show that the restoration of quantum- limited images has certain similarities to estimating a probability density function. We apply the algorithm to a widely used image phantom and demonstrate that the processed image features less noise without blurred edges.

Paper Details

Date Published: 18 August 1995
PDF: 7 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216880
Show Author Affiliations
Henry Stark, Illinois Institute of Technology (United States)
Jane L. Wurster, Illinois Institute of Technology (United States)
Yongyi Yang, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

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