Posterior sampling of scientific images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4141 LNCS, Issue , 2006, Pages 339-350

  Mohebi, Azadeh ^a   Fieguth, Paul ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; POROUS MATERIALS; STATISTICAL METHODS;

IMAGE MODELLING; RESOLUTION ENHANCEMENT; SPATIAL STATISTICS;

IMAGE ANALYSIS;

EID: 33749650204     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11867586_32     Document Type: Conference Paper

References (12)

1. P.M. Adler. Porous Media, Geometry and Transports. Butterworth-Heinemann series in chemical engineering. Butterworth-Heinemann, 1992.
2. S. Alexander and P. Fieguth. Hierarchical annealing for random image synthesis. Lecture Notes in Computer Science (EMMCVPR 2003), (2683), 2003.
3. B. Chalmond. Modelling and Inverse Problems in Image Analysis, volume 155 of Applied mathematical sciences. Springer-Verlag, 2003.
4. Subhasis Chaudhuri. Super Resolution Imaging. Kluwer, 2001.
5. R. Chellappa and A. Jain. MRF Theory and Applications, chapter Image Modeling During 1980s: a brief overview. Academic Press, 1993.
6. H. Derin, H. Elliott, and J. Kuang. A new approach to parameter estimation for gibbs random fields. IEEE, 1985.
7. P. Fieguth. Hierarchical posterior sampling for images and random fileds. IEEE, ICIP, 2003.
8. P. Fieguth and J. Zhang. Handbook of Video and image processing, chapter Random Field Models. Academic Press, 2000.
9. S. B. Gelfand and S. K. Mitter. Markov Random Fields, Theory and Applications, chapter On Smapling Methods and Annealing Algorithms, pages 499-515. Academic Press, 1993.
10. D. Geman. Random fields and inverse problmes in imaging, volume 1427 of Lecture Notes in Mathematics. Springer-Verlag, 1990.
11. S. Geman and D. Geman. Stochastic relaxation, gibbs distribution, and teh bayesian restoration of images. IEEE Transaction on Pattern Analysis and Machine Intelligence, 6(6), 1984.
12. G. Winkler. Image analysis, Random Fileds, and Markov Chain Monte Calro Methods. Springer-Verlag, second edition, 2003.