A MAP estimation algorithm using IIR recursive filters

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

Volumn 2683, Issue , 2003, Pages 436-449

  Sanches, João M ^a   Marques, Jorge S ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; IIR FILTERS; IMAGE RECONSTRUCTION; LOW PASS FILTERS; NONLINEAR EQUATIONS; PATTERN RECOGNITION; SIGNAL PROCESSING;

3D RECONSTRUCTION; DESIGN STRATEGIES; ESTIMATION TECHNIQUES; LARGE-SCALE PROBLEM; LOW-PASS FILTERING; NON-GAUSSIAN NOISE; RECURSIVE FILTERS; SIGNAL PROCESSING PROBLEMS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 35248871045     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45063-4_28     Document Type: Article

References (20)

1. V. E. Johnson, W. H. Wong, X. Hu and C. Chen, Image Restoration Using Gibbs Priors: Bondary Modeling, Treatment of Blurring, and selection of Hyperparameters, IEEE PAMI, vol.13, no.5, May 1991.
2. D. L. Snyder, M.I Miller, L. J. Thomas and D. G. Politte, Noise and Edge Artifacts in Maiximum-Likelihood Reconstructions for Emission Tomography, IEEE Trans. on Medical Imaging, vol. MI-6, no.3, September 1987.
3. A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, Inc., Englewood Cliffs, NJ, 1989.
4. E.S. Chornoboy, C, J. Chen, M.I. Miller, T.R. Miller and D.L. Snyder, An Evaluation of Maxim Likelihood Reconstruction for SPECT, IEEE Trans. on Medical Imaging, vol.9, no.1, March 1990.
5. T. A. Gooley and H. H. Barret, Evaluation of Statistical Methods of Image Reconstruction Through ROC Analysis, IEEE Trans. on Medical Imaging, vol.11, no.2, June 1992.
6. L. A. Shepp and Y. Vardi, Maximum Likelihood Reconstruction for Emission Tomography, IEEE Trans. on Medical Imaging, vol.MI-1, no.2, October 1982.
7. T. Herbert and R. Leahy, A Generalized EM Algorithm for 3-D Bayesian Reconstruction from Poisson Data Using Gibbs Priors, IEEE Trans. on Medical Imaging, vol.8, no.2, June 1989.
8. A. K. Katsaggelos, Digital Image Restoration, Springer Series in Information Sciences, Springer-Verlag, 1991.
9. D. S. Lalush and B. M. W. Tsui, Simulation Evaluation of Gibbs Prior Distributiions for Use in Maximum A Posteriori SPECT Reconstructions, IEEE Trans. on Medical Imaging, vol.11, no.2, June 1992.
10. P. J. Green, Bayesian Reconstructions From Emission Tomography Data Using a Modified EM Algorithm, IEEE Trans. on Medical Imaging, vol.9, no.1, March 1990.
11. S. Geman and D. Geman, Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Trans on Pattern Analysis and Machine Intelligence, vol.PAMI-6, no.6, pp. 721-741, November 1984.
12. S. Z. Li, Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing, IEEE Trans. on PAMI, vol. PAMI-20, no.9, pp.916-932, September 1998.
13. Jorge S. Marques, Pattern Recognition. Statistical and Neuronal Approches, IST Press, 1999.
14. Jae. S. Lim, Two-Dimensional Signal and Image Processing, PTR Prentice Hall, Englewood Cliffs, New Jersey.
15. R. Deriche. Using Canny's criteria to derive a recursively implemented optimal edge detector. The International Journal of Computer Vision, 1(2):167-187, May 1987.
16. J. Abbot and F. Thurstone, Acoustic Speckle: Theory and Experimental Analysis, Ultrasound Imaging vol.1, pp.303-324, 1979.
17. J. Dias, T. Suva, J. Leitão,Adaptive Restoration of Speckled SAR Images Using a Compound Random Markov Field, Procedings ICIP98 Chicago,vol.II,pp.79-83, October 1998.
18. C. Burckhardt, Speckle in Ultrasound B-Mode Scans, IEEE Trans. on Sonics and Ultrsonics, vol. SU-25, no.1, pp.1-6, January 1978.
19. J. Sanches and J. S. Marques, A Fast MAP Algorithm for 3D Ultrasound, Proceedings Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR2001, pp.63-74, Sophia Antipolis, France, September 2001.
20. J. Sanches and J. S. Marques, A MAP IIR Filter for 3D Ultrasound, ICIP2002, Rochester, New York, pp.II-957-960, September 2002.