A database of high dynamic range visible and near-infrared multispectral images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6817, Issue , 2008, Pages

  Parmar, Manu ^a   Imai, Francisco ^b   Park, Sung Ho ^b   Farrell, Joyce ^c  

^a Stanford University   (United States)

^b SAMSUNG INFORMATION SYSTEMS AMERICA   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; DIGITAL SIGNAL PROCESSORS; DISPLAY DEVICES; IMAGE QUALITY; IMAGE RECONSTRUCTION; SENSITIVITY ANALYSIS;

IMAGING PIPELINE ELEMENTS; SPECTRAL INFORMATION;

IMAGING SYSTEMS;

EID: 43649102445     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.767830     Document Type: Conference Paper

References (17)

1. J. E. Farrell, F. Xiao, P. B. Catrysse, and B. A. Wandell, "A simulation tool for evaluating digital camera image quality," in Proceedings of IS&T/SPIEs Electronic Imaging 2004: Image Quality and System Performance, 5294, pp. 124-131, Jan. 2004.
2. E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting, Morgan Kaufmann Publishers, Dec. 2005.
3. S. Tominaga, "Multichannel vision system for estimating surface and illumination functions," J. Opt. Soc. Am. A 13, pp. 2163-2173, 1996.
4. S. Tbminaga and R. Okajima, "A spectral-imaging system and algorithms for recovering spectral functions," in 4th IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 278-282, 2000.
5. P. J. Miller and C. C. Hoyt, "Multispectral imaging with a liquid crystal tunable filter," Society of Photo-Optical Instrumentation Engineers (SPIE) Conference 2345, pp. 354-365, Jan. 1995.
6. F. Imai, R. Berns, and D. Tzeng, "A comparative analysais of spectral reflectance estimated in various spaces using a trichromatic camera system," J. Imaging Sci. Tech. 44, pp. 280-287, 2000.
7. B. A. Wandell. Foundations of Vision, Sinauer Associates, Inc., 1995.
8. D. H. Marimont and B. A. Wandell, "Linear models of surface and illuminant spectra," JOSA A 9(11), pp. 1905-1913, 1992.
9. C. Chiao, T. Cronin, and D. Osorio, "Color signals in natural scenes: characteristics of reflectance spectra and effects of natural illuminants," J. Opt. Soc. Am. A (17), pp. 218-224, 2000.
10. M. J. Vrhel, R. Gershon, and L. S. Iwan, "Measurement and analysis of object reflectance spectra," Color Research and Application 9, pp. 4-9, Feb. 1994.
11. G. Sharma and H. J. Trussell, "Characterization of scanner sensitivity," in IS&T and SID's Color Imaging Conference: Transforms and Transportability of Color, pp. 103-107, 1993.
12. G. Sharma and H. J. Trussell, "Set theoretic estimation in color scanner characterization," Journal of Electronic Imaging 5(4), pp. 479-489, 1996.
13. G. Finlayson, S. Hordley, and P. M. Hubel, "Recovering device sensitivities with quadratic programming, " in IS&T/SID Sixth Color Imaging Conference: Color Science, Systems and Applications, pp. 90-95, 1998.
14. P. C. Hansen, Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1998.
15. F. Xiao, A system study of high dynamic range imaging. PhD thesis, Stanford University, Stanford, California, 2006.
16. P. E. Debevec and J. Malik, "Recovering high dynamic range radiance maps from photographs," Computer Graphics 31(Annual Conference Series}, pp. 369-378. 1997.
17. D. X. Yang, A. E. Gamal, B. Fowler, and H. Tan, "A 640 × 512 CMOS image sensor with ultra wide dynamic range floating-point pixellevel ADC," IEEE Journal of Solid State Circuits (12), pp. 1821-1834, 1999.