Title :
A Dual Method for Maximum Entropy Restoration
Author_Institution :
Jet Propulsion Laboratories, California Institute of Technology, Pasadena, CA 91103.
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.
Keywords :
Autocorrelation; Entropy; Image restoration; Iterative algorithms; Nearest neighbor searches; Page description languages; Signal processing algorithms; Space technology; Testing; White noise;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1979.4766951
