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Improved Methods of Maximum a Posteriori Restoration
January 1979 (vol. 28 no. 1)
pp. 57-62
H.J. Trussell, Los Alamos Scientific Laboratory, University of California
An improved numerical solution method for maximum a posteriori image restoration is presented. Results of the use of this method are shown to be superior to previous MAP restorations and equal or better than some common linear restorations. A natural convergence criterion is defined and shown to be a good indicator of restoration quality. The effects of the parameters of the MAP restorations are discussed.
Index Terms:
quality of restoration, Bayesian estimation, image restoration, nonlinear processing of images, numerical methods, optimization theory
Citation:
H.J. Trussell, B.R. Hunt, "Improved Methods of Maximum a Posteriori Restoration," IEEE Transactions on Computers, vol. 28, no. 1, pp. 57-62, Jan. 1979, doi:10.1109/TC.1979.1675223
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