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Proceedings Paper

Obtaining Feasible Solutions In Image Restoration
Author(s): H.Joel Trussell; M.Reha Civanlar
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Paper Abstract

A major problem in image reconstruction and restoration is assuming that the obtained solution is acceptable to the user. The reason that a user can reject a computed solution is that the user has access to more a priori knowledge about the image than the solution method can use. This paper will discuss ways in which the amount of a priori knowledge that is actually made available to the restoration algorithm can be increased. The main vehicles for including this additional knowledge is the method of projection onto convex sets and application of fuzzy set theory.

Paper Details

Date Published: 11 July 1985
PDF: 8 pages
Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946569
Show Author Affiliations
H.Joel Trussell, North Carolina State University (United States)
M.Reha Civanlar, North Carolina State University (United States)


Published in SPIE Proceedings Vol. 0534:
Architectures and Algorithms for Digital Image Processing II
Francis J. Corbett, Editor(s)

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