PSF recovery from examples for blind super-resolution

Proceedings - International Conference on Image Processing, ICIP

Volumn 5, Issue , 2007, Pages

  Bégin, Isabelle ^a   Ferrie, Frank P ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Image quality; Learning; Markov random fields; Point spread function; Super resolution

Indexed keywords

IMAGE QUALITY; LEARNING ALGORITHMS; MARKOV PROCESSES; OPTICAL RESOLVING POWER; OPTICAL TRANSFER FUNCTION;

BLIND SUPER-RESOLUTION; EUCLIDEAN DISTANCE FUNCTIONS; HIGH RESOLUTION; LEARNING; LEARNING-BASED APPROACH; MARKOV RANDOM FIELDS; QUALITY MEASURES; SUPER RESOLUTION;

IMAGE PROCESSING;

EID: 48149098933     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379855     Document Type: Conference Paper

References (13)

1. N. Nguyen, P. Milanfar, and G. Golub, "Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement," IEEE Trans. on Image Processing, vol. 10, no. 9, pp. 1299-1308, 2001.
2. R.Y. Tsai and T.S. Huang, "Multiframe image restoration and registration," in Adv. in Computer Vision and Image Processing. 1984, vol. 1, pp. 318-339, JAI Press.
3. R.R. Schultz and R.L. Stevenson, "A Bayesian approach to image expansion for improved definition," IEEE Trans. Image Processing, vol. 3, no. 3, pp. 233-242, 1994.
4. W.T. Freeman, E.C. Pasztor, and O.T. Carmichael, "Learning low-level vision," Int. Journal of Computer Vision, vol. 40(1), pp. 25-47, October 2000.
5. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2000, vol. 2, pp. 372-379.
6. R. Rosales, K. Achan, and B. Frey, "Unsupervised image translation," in Proc. Int. Conf. on Computer Vision, 2003, pp. 472-478.
7. M. D. Gupta, S. Rajaram, N. Petrovic, and T. S. Huang, "Restoration and recognition in a loop," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005, vol. 1, pp. 638-644.
8. Q. Wang, X. Tang, and H. Shum, "Patch based blind image super resolution," in Proc. IEEE Int. Conf. on Computer Vision, 2005, vol. 1, pp. 709-716.
9. I. Begin and F. P. Ferrie, "Blind super-resolution using a learning-based approach," in Proc. Int. Conf. on Pattern Recognition, 2004, vol. 2, pp. 85-89.
10. W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes in C, Cambridge University Press, 2nd edition, 1999.
11. D.S.C. Biggs and M. Andrews, "Acceleration of iterative image restoration algorithms," Applied Optics, vol. 36, no. 8, pp. 1766-1775, 1997.
12. İAvcibaş, B. Sankur, and K. Sayood, "Statistical evaluation of image quality measures," Journal of Electronic Imaging, vol. 11, no. 2, pp. 206-223, 2002.
13. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. on Image Processing, vol. 13, no. 4, 2004.