Abstract
Geman and Reynolds [7] present an approach to linear image restoration which provides for recovery of horizontal and vertical gray-level discontinuities from blurred and noisy observations. We extend their model and parameter selection method to include diagonal discontinuities. A hazard of this modeling approach is identified and addressed. We also comment on the truncated Gibbs sampler suggested in the paper [7].
Original language | English |
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Pages (from-to) | 657-662 |
Number of pages | 6 |
Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Volume | 18 |
Issue number | 6 |
DOIs | |
Publication status | Published - 1996 |
Bibliographical note
Copyright:Copyright 2011 Elsevier B.V., All rights reserved.
Keywords
- Discontinuity recovery
- Gibbs sampler
- Metropolis algorithm
- Parameter selection
- Simulated annealing
- Statistical image reconstruction
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics