Super resolution with probabilistic motion estimation

IEEE Transactions on Image Processing

Volumn 18, Issue 8, 2009, Pages 1899-1904

  Protter, Matan ^a   Elad, Michael ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Deinterlacing; Probabilistic motion estimation; Super resolution

Indexed keywords

ACCURATE MOTION; DEINTERLACING; NEW APPROACHES; PROBABILISTIC MOTION ESTIMATION; RESAMPLING; SUPER RESOLUTION; SUPER-RESOLUTION RECONSTRUCTION;

ESTIMATION; RADIO RECEIVERS; RING GAGES;

MOTION ESTIMATION;

EID: 68249087473     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2022440     Document Type: Article

References (16)

1. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1167-1183, Sep. 2002.
2. A. Buades, B. Coll, and J. M. Morel, "Denoising image sequences does not require motion estimation," in Proc. IEEE Conf. Advanced Video and Signal Based Surveillance September (AVSS), 2005, pp. 70-74.
3. G. M. Callicó, S. López, O. Sosa, J. F. Lopez, and R. Sarmiento, "Analysis of fast block matching motion estimation algorithms for video super-resolution systems," IEEE Trans. Consum. Electron., vol. 54, no. 3, Aug. 2008.
4. J. Chen and C. K. Tang, "Spatio-temporal markov random field for video denoising," in Proc. Int. Conf. Computer Vision and Pattern Recognition, Minneapolis, MN, Jun. 2007, pp. 1-8.
5. M. Elad and Y. Hel-Or, "A fast super-resolution reconstruction algorithm for pure translational motion and common space invariant blur," IEEE Trans. Image Process., vol. 10, no. 8, pp. 1187-93, Aug. 2001.
6. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Fast and robust multiframe superresolution," IEEE Trans. Image Process., vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
7. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Advances and challenges in superresolution," Int. J. Imag. Syst. Technol., vol. 14, no. 8, pp. 47-57, Aug. 2004.
8. R.C. Hardie, K.J. Barnard, and E. E. Armstrong, "Joint MAP registration and high-resolution image estimation using asequence of undersampled images," IEEE Trans. Image Process., vol. 6, no. 12, pp. 1621-1633, Dec. 1997.
9. M. Irani and S. Peleg, "Improving resolution by image registration," CVGIP: Graph. Models Image Process., vol. 53, pp. 231-239, 1991.
10. L. C. Pickup, D. P. Capel, S. J. Roberts, and A. Zisserman, "Overcoming registration uncertainty in image super-resolution: Maximize or marginalize?," EURASIP J. Adv. Signal Process., no. 23565, 2007.
11. M. Protter,M. Elad, H. Takeda, and P. Milanfar, "Generalizing the non-local-means to super-resolution reconstruction," IEEE Trans. Image Process., vol. 18, no. 1, pp. 36-51, Jan. 2009.
12. L. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol. 60, pp. 259-268, 1992.
13. R. R. Schultz and R. L. Stevenson, "Extraction of high-resolution frames from video sequences," IEEE Trans. Image Process., vol. 5, no. 6, pp. 996-1011, Jun. 1996.
14. H. F. Shen, L. P. Zhang, B. Huang, and P. X. Li, "A MAP approach for joint motion estimation, segmentation, and super resolution," IEEE Trans. Image Process., vol. 16, no. 2, pp. 479-490, Feb. 2007.
15. H. Takeda, P. Milanfar, M. Protter, and M. Elad, "Super-resolution without explicit subpixel motion estimation," IEEE Trans. Image Process, to be published.
16. P. Vandewalle, S. Susstrunk, and M. Vetterli, "A frequency domain approach to registration of aliased images with application to super-resolution," EURASIP J. Appl. Signal Process., no. 71459, 2006.