Comments on "Nonstationary Assumptions for Gaussian Models in Images"
- 1 July 1978
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. 8 (7), 579-582
- https://doi.org/10.1109/tsmc.1978.4310026
Abstract
Evidence is reviewed suggesting that a Laplacian probability density function constitutes a more valid model for high-pass filtered imagery than the Gaussian model postulated in earlier work. In addition, it is shown that this discrepancy does not either seriously weaken the applicability of this class of images to a major image restoration method or challenge any other basic conclusions of the previous work.Keywords
This publication has 4 references indexed in Scilit:
- Bayesian Methods in Nonlinear Digital Image RestorationIEEE Transactions on Computers, 1977
- Nonstationary Assumptions for Gaussian Models of ImagesIEEE Transactions on Systems, Man, and Cybernetics, 1976
- Improved methods of maximum a posteriori image restorationPublished by Office of Scientific and Technical Information (OSTI) ,1976
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963