Hierarchical posterior sampling for images and random fields

IEEE International Conference on Image Processing

Volumn 1, Issue , 2003, Pages 821-824

  Fieguth, Paul ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; MONTE CARLO METHODS; SIMULATED ANNEALING; VISUALIZATION;

HIERARCHICAL MODELS; WAVELET SHRINKAGE;

IMAGE ANALYSIS;

EID: 0344666581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. M. Bello, A. Willsky, B. Levy, "Construction and applications of discrete-time smoothing error models," Int. J. of Control (50), pp.203-223, 1989
2. M. Daniel, A. Willsky, "The modeling and estimation of statistically self-similar processes in a multiresolution framework," IEEE Trans. Information Theory (45)#3, pp.955-970, 1999
3. A. Gelfand, S. Hills, A. Racine-Poon, A. Smith, "Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling," J. American Statistical Association (85), pp.972-985, 1990
4. K. Hanson, G. Cunningham, "Posterior Sampling with Improved Efficiency," SPIE (3338), pp.371-382, 1998
5. W. Irving, A. Willsky, "A Canonical Correlations Approach to Multiscale Stochastic Realization," IEEE T. Aut. Cntrl. (46)#10, pp.1514-1528, 2001
6. M. Luettgen, A. Willsky, "Multiscale Smoothing Error Models", IEEE T. Aut. Cntrl. (40) #1, 1995
7. M. Luettgen, W. Karl, A. Willsky, R. Tenney, "Multiscale Representations of Markov Random Fields", IEEE T. S.P. (41) #12, pp.3377-3396, 1993
8. M. Tanner, W. Wong, "The Calculation of Posterior Distributions by Data Augmentation," J. American Statistical Association (82), pp.548-550, 1987