Title :
Improved Methods of Maximum a Posteriori Restoration
Author :
Trussell, H.J. ; Hunt, B.R.
Author_Institution :
Los Alamos Scientific Laboratory, University of California
Abstract :
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.
Keywords :
Bayesian estimation; image restoration; nonlinear processing of images; numerical methods; optimization theory; quality of restoration; Additive noise; Density measurement; Equations; Image restoration; Layout; Mathematical model; Measurement units; Noise measurement; Optimization methods; Photography; Bayesian estimation; image restoration; nonlinear processing of images; numerical methods; optimization theory; quality of restoration;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1979.1675223
