Determining the parameters in regularized super-resolution reconstruction

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 853-856

  Zibetti, Marcelo V W ^a   Mayer, Joceli ^a   Bazan, Fermín S V ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

Bayesian estimation; JMAP; Regularization; Super resolution

Indexed keywords

OPTICAL RESOLVING POWER; SIGNAL PROCESSING; SOLUTIONS; SPEECH;

BAYESIAN ESTIMATION; INTERNATIONAL CONFERENCES; JMAP; REGULARIZATION; SUPER-RESOLUTION;

PARAMETER ESTIMATION;

EID: 51449104037     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4517744     Document Type: Conference Paper

References (18)

1. R. Y. Tsai and T. S. Huang, "Multiframe image restoration and registration," Advances in Comp. Vision and Image Proc., vol. 1, pp. 317-339, 1984.
2. A.M. Tekalp, M.K. Ozkan, and M.I. Sezan, "High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration," in IEEE Int. Conf. on Acoust., Speech, and Sig. Proc., 1992, vol. 3, pp. 169-172.
3. K. Aizawa, T. Komatsu, and T. Saito, "A scheme for acquiring very high resolution images using multiplecameras," in IEEE Int. Conf.e on Acoust., Speech, and Sig. Proc., 1992, 1992, vol. 3, pp. 289-292.
4. M. Irani and S. Peleg, "Motion analysis for image enhancement: Resolution, occlusion, and transparency," J. of Visual Comm. and Image Repres., vol. 4, no. 4, pp. 324-335, Dec. 1993.
5. R. R. Schultz and R. L. Stevenson, "Extraction of high-resolution frames from video sequences," IEEE Trans. on Image Proc., vol. 5, no. 6, pp. 996-1011, June 1996.
6. M. C. Hong, M. G. Kang, and A. K. Katsaggelos, "An iterative weighted regularized algorithm for improving the resolution of video sequences," in IEEE International Conference on Image Processing, Oct. 1997, vol. 2, pp. 474-477.
7. E. S. Lee and M. G. Kang, "Regularized adaptive high-resolution image reconstruction considering inaccurate sub-pixel registration," IEEE Trans. on Image Proc., vol. 12, no. 7, pp. 826-837, July 2003.
8. H. He and L. P. Kondi, "An image super-resolution algorithm for different error levels per frame," IEEE Trans. on Image Proc., vol. 15, no. 3, pp. 592-603, Mar. 2006.
9. R. Molina, M. Vega, J. Abad, and A. K. Katsaggelos, "Parameter estimation in bayesian high-resolution image reconstruction with multisensors," IEEE Trans. on Image Proc., vol. 12, no. 12, pp. 1655-1667, Dec. 2003.
10. A. M. Djafari, "Joint estimation of parameters and hyperparameters in a bayesian approach of solving inverse problems," in IEEE Int. Conf. on Image Proc., Sept. 1996, pp. 473-472.
11. C. Stiller and J. Konrad, "Estimating motion in image sequences," IEEE Signal Proc. Magazine, vol. 16, no. 4, pp. 70-91, July 1999.
12. A. M. Djafari, "A full bayesian approach for inverse problems," in 15th Int. Work. on Max. Entropy and Bayesian Meth., 1995.
13. Curtis R. Vogel, Computational Methods for Inverse Problems, Frontiers in Applied Mathematics. SIAM, 2002.
14. A. E. Gamal and H. Eltoukhy, "Cmos image sensors," IEEE Circ. and Dev. Magazine, vol. 21, no. 3, pp. 6-20, May 2005.
15. Al Bovik, Ed., Handbook of Image and Video Processing, Academic Press, 2000.
16. B. K. P. Horn and B. G. Schunck, "Determining optical flow," Artif. Intel., vol. 17, pp. 185-203, Aug. 1981.
17. S Farsiu, D Robinson, M Elad, and P Milanfar, "Fast and robust multi-frame super-resolution," IEEE Trans. on Image Proc., vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
18. D. Hasler, L. Sbaiz, S. Süsstrunk, and M. Vetterli, "Outlier modeling in image matching," IEEE Trans. on Patt. Anal. and Mach. Intel., vol. 25, no. 3, pp. 301-315, Mar. 2003.