Research on Enhancement Method of Feather Images Based on Color Constancy

Jun Feng Ming; Ren Huang Wang; Su Xiang Tang; Ying Zhu

doi:10.4028/www.scientific.net/AMM.239-240.1069

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Research on Enhancement Method of Feather Images...

Research on Enhancement Method of Feather Images Based on Color Constancy

Abstract:

This article discusses the requirements and implementation of feather image enhancement. Feather image enhancement need correct the uneven illumination, maintain color constancy and preserve texture details. Experiments are taken with four typical enhancement algorithms. The result shows that MSRCR algorithm can preferable meet the requirements. A novel improvement on MSRCR is proposed, that can get better effect.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1069-1073

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1069

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Online since:

December 2012

Authors:

Jun Feng Ming, Ren Huang Wang, Su Xiang Tang, Ying Zhu

Keywords:

Color Constancy, Feather Images, Image Enhancement, Multi-Scale Retinex Algorithm

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References

[1] Land E.H., McCann J.J. Lightness and Retinex Theory. Journal of the Optical Society of America, 1971, 61(1): 1-11.

Google Scholar

[2] Jobson D., Rahman Z., Woodell G.A. Properties and performance of a center/surround Retinex. IEEE Trans on Image Processing, 1997, 6(3): 451-462.

DOI: 10.1109/83.557356

Google Scholar

[3] Rahman Z., Jobson D.J., Woodell G.A., et al. Image enhancement, Image Quality, and Noise. Photonic Devices and Algorithms for Computing VII, Proceedings of SPIE, 2005, 5907: 5907N.

DOI: 10.1117/12.619460

Google Scholar

[4] Woodell G.A., Jobson D.J., Rahman Z. et al. Enhancement of Imagery in Poor Visibility Conditions. Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, Proceedings of SPIE, 2005, 5778: 673-683.

DOI: 10.1117/12.601965

Google Scholar

[5] Rahman Z., Jobson D.J., and Woodell G.A., Multi-scale Retinex for Clolr Image Enhancement. Lausanne, Switzerland: Proceedings of International Conference on Image Processing, 1996: 1003-1006.

DOI: 10.1109/icip.1996.560995

Google Scholar

[6] Z. Rahman, D. J. Jobson, and G. Woodell G.A., Resiliency of the Multiscale Retinex Image Enhancement Algorithm, in Proceedings of the IS&T Sixth Annual Color Conference: Color Science, Systems, and Applications, pp.129-134, IS&T, (1998).

DOI: 10.1109/icip.1996.560995

Google Scholar

[7] Brainard D.H., Wandell B.A. Analysis of the retinex theory of Color Vision. J Opt Soc Am, 1986, 3: 1651-1661.

DOI: 10.1364/josaa.3.001651

Google Scholar