OSA's Digital Library

Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 18, Iss. 10 — Oct. 1, 2001
  • pp: 2460–2467

Physics-based approach to color image enhancement in poor visibility conditions

KokKeong Tan and John P. Oakley  »View Author Affiliations


JOSA A, Vol. 18, Issue 10, pp. 2460-2467 (2001)
http://dx.doi.org/10.1364/JOSAA.18.002460


View Full Text Article

Enhanced HTML    Acrobat PDF (261 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Degradation of images by the atmosphere is a familiar problem. For example, when terrain is imaged from a forward-looking airborne camera, the atmosphere degradation causes a loss in both contrast and color information. Enhancement of such images is a difficult task because of the complexity in restoring both the luminance and the chrominance while maintaining good color fidelity. One particular problem is the fact that the level of contrast loss depends strongly on wavelength. A novel method is presented for the enhancement of color images. This method is based on the underlying physics of the degradation process, and the parameters required for enhancement are estimated from the image itself.

© 2001 Optical Society of America

OCIS Codes
(010.1310) Atmospheric and oceanic optics : Atmospheric scattering
(100.2980) Image processing : Image enhancement
(100.3020) Image processing : Image reconstruction-restoration
(280.1310) Remote sensing and sensors : Atmospheric scattering
(290.1310) Scattering : Atmospheric scattering

History
Original Manuscript: November 2, 2000
Revised Manuscript: February 20, 2001
Manuscript Accepted: March 21, 2001
Published: October 1, 2001

Citation
KokKeong Tan and John P. Oakley, "Physics-based approach to color image enhancement in poor visibility conditions," J. Opt. Soc. Am. A 18, 2460-2467 (2001)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-18-10-2460


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. N. S. Kopeika, I. Dror, D. Sadot, “Causes of atmospheric blur: comment on Atmospheric scattering effect on spatial resolution of imaging systems,” J. Opt. Soc. Am. A 15, 3097–3106 (1998). [CrossRef]
  2. N. S. Kopeika, A System Engineering Approach to Imaging (SPIE Optical Engineering Press, Bellingham, Wash., 1998).
  3. W. Niblack, An Introduction to Digital Image Processing, 2nd ed. (Prentice-Hall, London, 1986).
  4. I. Pitas, P. Kiniklis, “Multichannel techniques in color image enhancement and modelling,” IEEE Trans. Image Process. 5, 168–171 (1996). [CrossRef]
  5. J. S. Tyo, “Enhancement of the point-spread function for imaging in scattering media by use of polarization-difference imaging,” J. Opt. Soc. Am. A 17, 1–10 (2000). [CrossRef]
  6. X. Gan, S. P. Schilders, M. Gu, “Image enhancement through turbid media under a microscope by use of polarization gating methods,” J. Opt. Soc. Am. A 16, 2177–2184 (1999). [CrossRef]
  7. E. P. Zege, I. L. Katsev, “To see the unseen: vision in scattering media,” in Current Trends in Optics, J. C. Dainty, ed. (Academic, London, 1994), pp. 107–121.
  8. S. C. W. Hyde, N. P. Barry, R. Jones, J. C. Dainty, P. M. W. French, “High resolution depth resolved imaging through scattering media using time resolved holography,” Opt. Commun. 122, 111–116 (1996). [CrossRef]
  9. V. Caselles, J. Lisani, J. Morel, “Shape preserving local histogram modification,” IEEE Trans. Image Process. 8, 220–230 (1999). [CrossRef]
  10. J. A. Stark, “Adaptive image contrast enhancement using generalizations of histogram equalization,” IEEE Trans. Image Process. 9, 889–896 (2000). [CrossRef]
  11. T. Lin, T. Kao, “Adaptive local contrast enhancement method for medical images displayed on a video monitor,” Med. Eng. Phys. 22, 79–87 (2000). [CrossRef] [PubMed]
  12. G. Aviram, S. R. Rotman, “Analyzing the improving effect of modeled histogram enhancement on human target detection performance of infrared images,” Infrared Phys. Technol. 41, 163–168 (2000). [CrossRef]
  13. H. Zhu, F. H. Y. Chan, F. K. Lam, “Image contrast enhancement by constrained local histogram equalization,” Comput. Vision Image Understand. 73, 281–290 (1999). [CrossRef]
  14. Y. Yitzhakya, I. Dror, N. S. Kopeika, “Restoration of atmospherically blurred images according to weather-predicted atmospheric modulation transfer functions,” Opt. Eng. 36, 3064–3072 (1997). [CrossRef]
  15. R. A. McKim, S. K. Sinha, “Condition assessment of underground sewer pipes using a modified digital image processing paradigm,” Trenchless Technol. Res. 14, 29–37 (1999).
  16. Y. Rzhanov, L. Linnett, R. Forbes, “Underwater video mosaicing for seabed mapping,” in Proceedings of the IEEE International Conference on Image Processing (Institute of Electrical and Electronics Engineers, New York, 2000), pp. 224–227.
  17. J. P. Oakley, B. L. Satherley, “Improving image quality in poor visibility conditions using a physical model for contrast degradation,” IEEE Trans. Image Process. 7, 167–179 (1998). [CrossRef]
  18. E. J. McCartney, Optics of the Atmosphere (Wiley, Toronto, 1976),
  19. M. Iqbal, An Introduction to Solar Radiation (Academic, Toronto, 1983).
  20. R. M. Fuller, B. K. Wyatt, C. J. Barr, “Countryside survey from ground and space,” J. Environ. Manage. 54, 101–126 (1998). [CrossRef]
  21. Matlab Version 5.1.0.521 (The MathWorks Inc., Natick, Mass., 1997).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited