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A dual method for maximum entropy restoration
1Jet Propulsion Laboratories, California Institute of Technology, Pasadena, CA 91103.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Abstract:
A simple iterative dual algorithm for maximum entropy image restoration is presented. The dual algorithm involves fewer parameters than conventional minimization in the image space. Mini-computer test results for Fourier synthesis with inadequate phantom data are given.
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