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11 July 1985 Obtaining Feasible Solutions In Image Restoration
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Proceedings Volume 0534, Architectures and Algorithms for Digital Image Processing II; (1985) https://doi.org/10.1117/12.946569
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States
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.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H.Joel Trussell and M.Reha Civanlar "Obtaining Feasible Solutions In Image Restoration", Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); https://doi.org/10.1117/12.946569
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