Radiometric calibration from noise distributions

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Matsushita, Yasuyuki ^a   Lin, Stephen ^a  

^a MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CAMERAS; IMAGE REGISTRATION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

MULTIPLE INTENSITY LEVELS; NOISE DISTRIBUTIONS; RADIOMETRIC CALIBRATION; RESPONSE FUNCTIONS;

RADIOMETRY;

EID: 34948867258     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383213     Document Type: Conference Paper

References (22)

1. F. Alter, Y. Matsushita, and X. Tang. An intensity similarity measure in low-light conditions. In Proc. of European Conf. on Comp. Vis. (ECCV), pp. 267-280, 2006.
2. Z. Botev and D. Kroese. Global likelihood optimization via the cross-entropy method with an application to mixture models. In Proc. of the 36th Conf. on Winter simulation, pp. 529-535, 2004.
3. N. Campbell. Discontinuities in light emission. Proc. Cambridge Phil. Soc., 15:310-328, 1909.
4. P. E. Debevec and J. Malik. Recovering high dynamic range radiance maps from photographs. In Proc. of ACM SIGGRAPH, pp. 369-378, 1997.
5. H. Farid. Blind inverse gamma correction. IEEE Transactions on Image Processing, 10(10): 1428-1433, 2001.
6. M. D. Grossberg and S. K. Nayar. Determining the camera response from images: What is knowable? IEEE Trans, on Pattern Analysis and Machine Intelligence, 25(11):1455-1467, 2003.
7. M. D. Grossberg and S. K. Nayar. What is the space of camera response functions? In Proc. of Comp. Vis. and Pattern Rec (CVPR), vol. 2, pp. 602-609, 2003.
8. J. Kenney and E. Keeping. Mathematics of Statistics, Pt. 1, 3rded. Van Nostrand, 1962.
9. S. Kim and M. Pollefeys. Radiometric alignment of image sequences. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. 1, pp. 645-651, 2004.
10. R. Landauer. Condensed-matter physics: The noise is the signal. Nature, 392:658-659, 1998.
11. S. Lin, J. Gu, S. Yamazaki, and H. Y Shum. Radiometric calibration from a single image. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. 2, pp. 938-945, 2004.
12. S. Lin and L. Zhang. Determining the radiometric response function from a single grayscale image. In Proc. of Comp. Vis. and Patt. Rec. (CVPR), vol. 2, pp. 66-73, 2005.
13. C. Liu, W. T. Freeman, R. Szeliski, and S. B. Kang. Noise estimation from a single image. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), pp. 901-908, 2006.
14. S.Mann. Comparametric imaging: Estimating both the unknown response and the unknown set of exposures in a plurality of differently exposed images. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. 1, pp. 842-849, 2001.
15. S. Mann and R. Picard. Being 'undigital' with digital cameras: extending dynamic range by combining differently exposed pictures. In Proc. of IS & T, 48th annual conference, pp. 422-428, 1995.
16. T. Mitsunaga and S. K. Nayar. Radiometric self-calibration. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. 2, pp. 374-380, 1999.
17. S. K. Nayar and T. Mitsunaga. High dynamic range imaging: Spatially varying pixel exposures. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. I, pp. 472-479, 2000.
18. J. A. Nelder and R. Mead. A simplex method for function minimization. Computer Journal, 7:308-313, 1965.
19. A. Oppenheim and R. Schafer. Digital Signal Processing. Prentice Hall, 1975.
20. C. Pal, R. Szeliski, M. Uyttendale, and N. Jojic. Probability models for high dynamic range imaging. In Proc. of Comp. Vis. and Pattern Rec. (CVPR), vol. 2, pp. 173-180, 2004.
21. S. Rice. Mathematical analysis of random noise. Bell Syst. Tech. J., 23:282-332, 1944.
22. Y. Tsin, V. Ramesh, and T. Kanade. Statistical calibration of ccd imaging process. In Proc. of Int'l Conf. on Comp. Vis. (ICCV), vol. 1, pp. 480-487, 2001.