Title :
Notes on linear image restoration by maximizing the a posteriori probability
Author_Institution :
University of California, Los Alamos, NM
fDate :
4/1/1978 12:00:00 AM
Abstract :
A distinction is made between the minimum mean-square error estimate derived for the linear case of maximum a posteriori restoration and the common Wiener estimate. The linear MAP filter is shown to produce good results with less a priori knowledge than is required for the Wiener filter.
Keywords :
Equations; Image restoration; Nonlinear filters; Signal processing; Spectral analysis; Speech processing; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1978.1163060
