Issue No.01 - January (1979 vol.28)
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.
quality of restoration, Bayesian estimation, image restoration, nonlinear processing of images, numerical methods, optimization theory
H.J. Trussell, B.R. Hunt, "Improved Methods of Maximum a Posteriori Restoration", IEEE Transactions on Computers, vol.28, no. 1, pp. 57-62, January 1979, doi:10.1109/TC.1979.1675223