Bayesian Estimation of Camera Characteristics including Spectral Sensitivities from a Color Chart Image without Manual Parameter Tuning

Yusuke Murayama, Pengchang Zhang, Ari Ide-Ektessabi

Abstract

We proposed a new practical method for identifying characteristics of a color digital camera: spectral sensitivity function, linearization function and noise variance of each color channel. The only input is an image of a color chart acquired by the objective camera with a spectral-content-known illuminant, and the camera characteristics are obtained automatically. The proposed method was developed in the Bayesian statistical framework in order to improve upon previous methods, namely, to eliminate trial-and-error parameter tuning and to identify linearization function as well as spectral sensitivities. The polyline linearization function and the noise variance of a color channel were considered as hyperparameters, and estimated by the marginalized likelihood criterion. Such hyperparameters associated with the smoothness of the sensitivity curves were also estimated similarly. Then the spectral sensitivity of a color channel was obtained as maximum a posteriori solution. In experiments using synthetic data, the proposed method was found to be widely adaptable to the forms of sensitivity curves and the levels of sensor noise.

References

  1. Aronov, B., Asano, T., Katoh, N., Mehlhorn, K., and Tokuyama, T. (2006). Polyline fitting of planar points under min-sum criteria. International Journal of Computational Geometry & Applications, 16:96-116.
  2. Barnard, K. and Funt, B. V. (2002). Camera characterization for color research. Color Research and Application, 27(3):153-164.
  3. Bishop, C. M. (2006). Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, USA.
  4. Carvalho, P., Santos, A., and Martins, P. (2004). Recovering imaging device sensitivities: a data-driven approach. Image Processing, 2004. ICIP 7804. 2004 International Conference on, 4:2411-2414.
  5. Finlayson, G., Hordley, S., and Hubel, P. M. (1998). Recovering device sensitivities with quadratic programming. Sixth Color Imaging Conference: Color Science, Systems and Applications, pages 90-95.
  6. Grossberg, M. D. and Nayar, S. K. (2006). What can be known about the radiometric response from images? In Heyden, A., Sparr, G., Nielsen, M., and Johansen, P., editors, Computer Vision - ECCV 2002, volume 2353 of Lecture Notes in Computer Science, pages 189-205. Springer Berlin Heidelberg.
  7. Murayama, Y. and Ide-Ektessabi, A. (2012). Application of bayesian image superresolution to spectral reflectance estimation. Optical Engineering, 51:111713.
  8. Sharma, G. and Trussell, H. (1997). Figures of merit for color scanners. Image Processing, IEEE Transactions on, 6(7):990-1001.
  9. Sharma, G. and Trussell, H. J. (1996). Set theoretic estimation in color scanner characterization. Journal of Electronic Imaging, 5(4):479-489.
  10. Shen, H.-L. and Xin, J. H. (2006). Spectral characterization of a color scanner based on optimized adaptive estimation. J. Opt. Soc. Am. A, 23(7):1566-1569.
  11. Urban, P. and Grigat, R.-R. (2009). Metamer density estimated color correction. Signal, Image and Video Processing, 3:171-182.
  12. Urban, P., Rosen, M., and Berns, R. (2008). A spatially adaptive wiener filter for reflectance estimation. Final Program and Proceedings - IS&T/SID Color Imaging Conference, pages 279-284.
  13. Vora, P. L., Farrell, J. E., Tietz, J. D., and Brainard, D. H. (1997). Linear models for digital cameras. In Proceedings, IS&T's 50th Annual Conference, pages 377-382.
Download


Paper Citation


in Harvard Style

Murayama Y., Zhang P. and Ide-Ektessabi A. (2013). Bayesian Estimation of Camera Characteristics including Spectral Sensitivities from a Color Chart Image without Manual Parameter Tuning . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 15-22. DOI: 10.5220/0004271600150022


in Bibtex Style

@conference{visapp13,
author={Yusuke Murayama and Pengchang Zhang and Ari Ide-Ektessabi},
title={Bayesian Estimation of Camera Characteristics including Spectral Sensitivities from a Color Chart Image without Manual Parameter Tuning},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={15-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004271600150022},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Bayesian Estimation of Camera Characteristics including Spectral Sensitivities from a Color Chart Image without Manual Parameter Tuning
SN - 978-989-8565-47-1
AU - Murayama Y.
AU - Zhang P.
AU - Ide-Ektessabi A.
PY - 2013
SP - 15
EP - 22
DO - 10.5220/0004271600150022