Super-resolution image reconstruction using the ICM algorithm

Proceedings - International Conference on Image Processing, ICIP

Volumn 4, Issue , 2007, Pages

  Martins, A L D ^a   Homem, M R P ^a   Mascarenhas, N D A ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

Iterated conditional modes; Markov random fields; Super resolution image reconstruction

Indexed keywords

IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MARKOV PROCESSES; OPTICAL RESOLVING POWER; PROBABILITY DENSITY FUNCTION; STRUCTURAL FRAMES;

A-PRIORI PROBABILITIES; HIGH RESOLUTION IMAGE; HIGH-RESOLUTION GRIDS; ITERATED CONDITIONAL MODES; MARKOV RANDOM FIELDS; NOISY LOW RESOLUTION IMAGE; RESOLUTION ENHANCEMENT; SUPER-RESOLUTION IMAGE RECONSTRUCTION;

IMAGE PROCESSING;

EID: 48149104252     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379990     Document Type: Conference Paper

References (14)

1. S. Borman and R. Stevenson, "Spatial resolution enhancement of low-resolution image sequences. A comprehensive review with directions for future research," Technical Report, University of Notre Dame, Notre Dame, 1998.
2. S. C. Park, M. K. Park, and M. G. Kang, "Superresolution image reconstruction: A technical overview," IEEE Signal Processing Magazine, pp. 21-36, 2003.
3. D. Lim, "Achieving accurate image registration as the basis for super-resolution," Master Thesis, The University of Western Australia, 2003.
4. R. Y. Tsai and T. S. Huang, "Multi-frame image restoration and registration," Advances in Computer Vision and Image Processing, pp. 317-339, 1984.
5. S. P. Kim and W. Y. Su, "Recursive high resolution reconstruction of blurred multiframe images," IEEE Trans. on Image Processing, vol. 2, pp. 534-539, 1993.
6. M. Irani and S. Peleg, "Improving resolution by image registration," CVGIP: Graph. Models Image Process., vol. 53, pp. 231-239, 1991.
7. S. Chaudhuri, "Super-resolution imaging," Norwell, MA: Kluwer, 2001.
8. M. R. P. Homem, A. L. D. Martins, and N. D. A. Mascarenhas, "High-resolution image reconstruction with the ICM algorithm," WVC2006 - II Workshop de Visão Computacional, pp. 123-128, October 2006.
9. J. Besag, "Statistical analysis of dirty pictures," Journal of the Royal Statistical Society, vol. 48, pp. 259-302, 1986.
10. R. C. Dubes and A. K. Jain, "Random field models in image analysis," Journal of Applied Statistics, vol. 16, pp. 131-164, 1989.
11. N. D. A. Mascarenhas and A. C. Frery, "SAR image filtering with the ICM algorithm," International Geoscience and Remote Sensing Symposium, pp. 2185-2187, August 1994.
12. S.Z.Li, "On discontinuity-adaptive smoothness priors in computer vision," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17(6), pp. 576-586, June 1995.
13. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 6 (6), pp. 721-741, November 1984.
14. H. Stark and Y. Yang, "Vector space projections, a numerical approach to signal and image processing, neural nets, and optics," A Wiley-Interscience Publication, 1998.