A parameter-controlled relaxation algorithm for Bayesian restoration of images using the maximum entropy method (design, analysis, Mach band simulation and parallelization)
A relaxation scheme is developed for the maximum entropy method and applied to the Bayesian restoration of images. The scheme involves optimizing a system by controlling its states in sequence, using specific parameter strategies. The results evolve directly from the functional analysis of a station...
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| Main Author: | |
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| Format: | Dissertation |
| Language: | English |
| Published: |
ProQuest Dissertations & Theses
01.01.1990
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| ISBN: | 0315647760, 9780315647763 |
| Online Access: | Get full text |
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