Optimal single image capture for motion deblurring

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 2560-2567

  Agrawal, Amit ^b   Raskar, Ramesh ^a  

^a MIT MEDIA LAB   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

C (PROGRAMMING LANGUAGE); COMPUTER VISION; DECONVOLUTION; HIGH SPEED CAMERAS; OPTICAL TRANSFER FUNCTION; SIGNAL TO NOISE RATIO; VIDEO CAMERAS;

CAPTURE STRATEGIES; DEBLURRING IMAGES; HIGH SPATIAL FREQUENCY; HIGH SPEED VIDEO CAMERAS; ILL POSED PROBLEM; MOTION DEBLURRING; MOTION DIRECTION; RATE OF INCREASE;

IMAGE ENHANCEMENT;

EID: 70450189293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206546     Document Type: Conference Paper

References (22)

1. R. N. Clark. Digital camera sensor performance summary. http://clarkvision.com, 2008.
2. S. Dai and Y. Wu. Motion from blur. In Proc. Conf. Computer Vision and Pattern Recognition, pages 1-8, June 2008.
3. E. R. Dowski and W. Cathey. Extended depth of field through wavefront coding. Appl. Optics, 34(11):1859-1866, Apr. 1995.
4. E. Fenimore and T. Cannon. Coded aperture imaging with uniformly redundant arrays. Appl. Optics, 17:337-347, 1978. (Pubitemid 8588951)
5. R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman. Removing camera shake from a single photograph. ACM Trans. Graph., 25(3):787-794, 2006.
6. M. Grossberg and S. Nayar. High Dynamic Range fromMultiple Images: Which Exposures to Combine? In ICCV Work- shop on Color and Photometric Methods in Computer Vision (CPMCV), Oct 2003.
7. G. E. Healey and R. Kondepudy. Radiometric ccd camera calibration and noise estimation. IEEE Trans. Pattern Anal. Machine Intell., 16(3):267-276, 1994.
8. S. Hiura and T. Matsuyama. Depth measurement by the multi-focus camera. In Proc. Conf. Computer Vision and Pattern Recognition, pages 953-961, 1998.
9. P. Jansson. Deconvolution of Image and Spectra. Academic Press, 2nd edition, 1997.
10. J. Jia. Single image motion deblurring using transparency. In Proc. Conf. Computer Vision and Pattern Recognition, pages 1-8, June 2007.
11. N. Joshi, R. Szeliski, and D. Kriegman. PSF estimation using sharp edge prediction. In Proc. Conf. Computer Vision and Pattern Recognition, June 2008.
12. A. Levin, R. Fergus, F. Durand, and W. T. Freeman. Image and depth from a conventional camera with a coded aperture. ACM Trans. Graph., 26(3):70, 2007.
13. A. Levin, P. Sand, T. S. Cho, F. Durand, and W. T. Freeman. Motion-invariant photography. ACM Trans. Graph., 27(3):1-9, 2008.
14. L. Lucy. An iterative technique for the rectification of observed distributions. J. Astronomy, 79:745-754, 1974.
15. H. Nagahara, S. Kuthirummal, C. Zhou, and S. Nayar. Flexible Depth of Field Photography. In Proc. European Conf. Computer Vision, Oct 2008.
16. R. Raskar, A. Agrawal, and J. Tumblin. Coded exposure photography: motion deblurring using fluttered shutter. ACM Trans. Graph., 25(3):795-804, 2006.
17. N. Ratner and Y. Y. Schechner. Illumination multiplexing within fundamental limits. In Proc. Conf. Computer Vision and Pattern Recognition, June 2007.
18. W. Richardson. Bayesian-based iterative method of image restoration. J. Opt. Soc. of America, 62(1):55-59, 1972.
19. Y. Y. Schechner, S. K. Nayar, and P. N. Belhumeur. A theory of multiplexed illumination. In Proc. Int'l Conf. Computer Vision, volume 2, pages 808-815, 2003.
20. Q. Shan, J. Jia, and A. Agarwala. High-quality motion deblurring from a single image. ACM Trans. Graph., 27(3):1- 10, 2008.
21. A. Veeraraghavan, R. Raskar, A. Agrawal, A. Mohan, and J. Tumblin. Dappled photography: Mask enhanced cameras for heterodyned light fields and coded aperture refocusing. ACM Trans. Graph., 26(3):69, 2007.
22. L. Yuan, J. Sun, L. Quan, and H.-Y. Shum. Progressive interscale and intra-scale non-blind image deconvolution. ACM Trans. Graph., 27(3):1-10, 2008.