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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Franco Gori
  • Vol. 27, Iss. 1 — Jan. 1, 2010
  • pp: 31–39

White balance by tunable spectral responsivities

Federico Zaraga and Giacomo Langfelder  »View Author Affiliations

JOSA A, Vol. 27, Issue 1, pp. 31-39 (2010)

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The development of color pixels in modern digital imaging has led to devices in which color detection is not based on the use of physical color filters but relies on the wavelength dependence of the silicon absorption coefficient in the visible range. In some of these devices the responsivity of each color channel can be electrically tuned by changing the applied voltages. Exploiting this feature, this paper presents a new method of white balance that compensates for changes in the illuminant spectrum by changing accordingly the spectral responsivities, and therefore the native color space, of the detector. Different sets of responsivities corresponding to the different RGB color channels can be selected, depending on the illuminant, in order to keep the chromatic components of a white object independent of the illuminant. An implementation of this method with the transverse field detector, a color device with tunable spectral responsivities, is discussed. Experimental data show that the method is effective for three spectral sources that are strongly different from a chosen reference source. The color error in a perceptive color space after the subsequent color correction (specific for each set of base filters) does not change significantly in the tuning interval of interest for image acquisition.

© 2009 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(110.2970) Imaging systems : Image detection systems
(110.1085) Imaging systems : Adaptive imaging

ToC Category:
Imaging Systems

Original Manuscript: October 16, 2009
Manuscript Accepted: October 28, 2009
Published: December 3, 2009

Federico Zaraga and Giacomo Langfelder, "White balance by tunable spectral responsivities," J. Opt. Soc. Am. A 27, 31-39 (2010)

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  1. B. A. Wandell and L. D. Silverstein, “Digital color reproduction,” in The Science of Color (Elsevier, 2003), pp. 281-316. [CrossRef]
  2. D. L. MacAdam, “Chromatic adaptation,” J. Opt. Soc. Am. 46, 500-513 (1956). [CrossRef] [PubMed]
  3. B. A. Wandell, “Color appearance and the digital imaging pipeline,” in Proceedings of the 15th International Conference on Pattern Recognition (ICPR, 2000), Vol. 1, pp. 183-190. [CrossRef]
  4. G. D. Finlayson, M. S. Drew, and B. V. Funt, “Color constancy: generalized diagonal transforms suffice,” J. Opt. Soc. Am. A 11, 3011-3019 (1994). [CrossRef]
  5. S. Bianco, F. Gasparini, and R. Schettini, “Combining strategies for automatic white estimation in real images,” in Proceedings of 14th International Conference on Image Analysis and Processing Workshops (ICIAPW, 2007), pp. 175-178.
  6. F. Gasparini and R. Schettini, “Color balancing of digital photos using simple image statistics,” Pattern Recogn. 37, 1201-1217 (2004). [CrossRef]
  7. C. Weng, H. Chen, and C. Fuh, “A novel automatic white balance method for digital still cameras,” in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS) (IEEE, 2005), pp. 3801-3804.
  8. K. Hirakawa and T. W. Parks, “Chromatic adaptation and white-balance problem,” in Proceedings of the International Conference on Image Processing (ICIP, 2005), pp. 984-987.
  9. G. Wyszecki and W. S. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd ed. (Wiley, 1982).
  10. S. Quan, “Evaluation and optimal design of spectral sensitivities for digital color imaging,” Ph.D. thesis (Rochester Institute of Technology, 2002).
  11. H. Y. Chong, S. J. Gortler, and T. Zickler, “The von Kries hypothesis and a basis for color constancy,” in Proceedings of the IEEE International Conference on Computer Vision (IEEE, 2007), pp. 1-8.
  12. B. Funt and H. Jiang, “Non-von-Kries 3 parameter color prediction,” Proc. SPIE 5007, 182-189 (2003). [CrossRef]
  13. G. D. Finlayson, M. Drew, and B. Funt, “Spectral sharpening: sensor transformations for improved color constancy,” J. Opt. Soc. Am. A 11, 1553-1563 (1994). [CrossRef]
  14. H. P. Gage, “Color filters for altering color temperature. Pyrometer absorption and Daylite glasses,” J. Opt. Soc. Am. 23, 46-54 (1933). [CrossRef]
  15. R. B. Merrill (Foveon Inc.), “Color separation in an active pixel cell imaging array using a triple-well structure,” U.S. Patent 5,965,875, October 12, 1999.
  16. D. L. Gilblom, S. K. Yoo, and P. Ventura, “Real-time color imaging with a CMOS sensor having stacked photodiodes,” Proc. SPIE 5210, 105-115 (2004). [CrossRef]
  17. A. Longoni, F. Zaraga, and G. Langfelder, “Luminous radiation color photosensitive structure,” Italian Patent MI2006A002352 (2006); International Patent Appl. PCT/IB2007/003906.
  18. A. Longoni, F. Zaraga, G. Langfelder, and L. Bombelli, “The transverse field detector: a novel color sensitive CMOS Device,” IEEE Electron Device Lett. 29, 1306-1308 (2008). [CrossRef]
  19. G. Langfelder, F. Zaraga, and A. Longoni, “Tunable spectral responses in a color sensitive CMOS pixel for imaging applications,” IEEE Trans. Electron Devices 56, 2563-2569 (2009). [CrossRef]
  20. B. E. Bayer, “Color imaging array,” U.S. Patent 3,971,065, July 20, 1976.
  21. A. El Gamal and H. Eltoukhy, “CMOS image sensors,” IEEE Circuits Devices Mag. May-June, pp. 6-20, 2005. [CrossRef]
  22. G. Langfelder, “Isolation of highly doped junctions in low-doped active layers for CMOS radiation detectors,” IEEE Trans. Electron Devices 56, 1767-1773 (2009). [CrossRef]
  23. F. Zaraga and G. Langfelder, “Foto-rivelatore e metodo per rivelare una radiazione ottica,” Italian Patent MI2009A000500 (2009).
  24. D. X. D. Yang and A. El Gamal, “Comparative analysis of SNR for image sensors with enhanced dynamic range,” Proc. SPIE 3649, 197-211 (1999). [CrossRef]
  25. P. L. Vora and H. J. Trussel, “Measure of goodness of a set of color-scanning filters,” J. Opt. Soc. Am. A 10, 1499-1508 (1993). [CrossRef]
  26. Image System Evaluation Toolbox--ISET 2.0 User Manual, ImagEval Consulting.
  27. J. E. Farrell, F. Xiao, P. B. Catrysse, and B. A. Wandell, “A simulation tool for evaluating digital camera image quality, image quality and system performance,” Proc. SPIE 5294, 124-131 (2004). [CrossRef]

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