Authors
Reginald L Lagendijk, Jan Biemond, Dick E Boekee
Publication date
1990/7
Journal
IEEE Transactions on Acoustics, Speech, and Signal Processing
Volume
38
Issue
7
Pages
1180-1191
Publisher
IEEE
Description
A maximum-likelihood approach to the blur identification problem is presented. The expectation-maximization algorithm is proposed to optimize the nonlinear likelihood function in an efficient way. In order to improve the performance of the identification algorithm, low-order parametric image and blur models are incorporated into the identification method. The resulting iterative technique simultaneously identifies and restores noisy blurred images.< >
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Scholar articles
RL Lagendijk, J Biemond, DE Boekee - IEEE Transactions on Acoustics, Speech, and Signal …, 1990