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Gamut Mapping Based on Color Space Division for Enhancement of Lightness Contrast and Chrominance  

Cho, Yang-Ho (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Kim, Yun-Tae (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Lee, Cheol-Hee (Department of Computer Engineering, Kyungwoon Unive.)
Ha, Yeong-Ho (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Publication Information
Abstract
This paper proposes a gamut mapping algorithm based on color space division for cross media color reproduction. As each color device has a limited range of producible colors, reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference, the proposed method divides the whole gamut into parabolic shapes based on intersecting lightness by the just noticeable difference (JND) and the original device gamut boundary. Dividing the gamut with parabolic shapes and piecewise mapping of each region not only considers gamut characteristics but also provides for mapping uniformity. Also the lightness variations are more sensitive to the human visual system and by using lightness JND it can restrict lightness mapping variations that are unperceivable to enhance lightness contrast and chrominance. As a result, the proposed algorithm is able to reproduce high quality images using low-cost color devices.
Keywords
JND(just noticeable difference);
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Times Cited By KSCI : 1  (Citation Analysis)
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1 P. C. Hung, 'Colorimetric calibration in electronic imaging devices using a look-up-table model and interpolation,' Journal of Electronic Imaging, Vol. 36, No. 1, pp. 53-61, Jan. 1993   DOI
2 G. Ward, 'A Contrast-based scalefactor for luminance display,' Graphics Gems IV, pp. 415-421, 1994
3 G. J. Braun and M. D. Fairchild, 'Color gamut mapping in a hue linearized CIELAB color space,' IS&T/SID 6th Color Imaging Conference, pp. 163-168, 1998
4 J. Morovic, 'To develop a universal colour gamut mapping algorithm,' PhD Thesis, University of Derby, U. K., Oct. 1998
5 J. Morovic and M. R. Luo, 'Evaluation gamut mapping algorithms for universal applicability,' Color Research and Application, Vol. 26 No. 1, pp. 85-102, Feb. 2001   DOI   ScienceOn
6 P. G. Herzog and H. Buring, 'Optimizing gamut mapping: Lightness and hue adjustment,' Journal of Imaging Science and Technology, Vol. 44, No. 4, pp. 334-342, July/Aug. 2000
7 C. S. Lee, C. H. Lee, and Y. H. Ha, 'Parametric gamut mapping algorithms using variable anchor points,' Journal of Imaging Science and Technology, Vol. 44, No. 1, pp. 68-73, Jan/Feb. 2000
8 K. E. Spaulding, R. N. Ellson, and J. R. Sullivan, 'UltraColor: A new gamut mapping strategy,' Device-Independent Color Imaging II, Vol. 2414, pp. 61-68, 1995   DOI
9 E. D. Montag and M. D. Fairchild, 'Psychophysical evaluation of gamut mapping techniques using simple rendered images and artificial gamut boundaries,' IEEE Transactions on Image Processing, Vol. 6, No. 7, pp. 977-989, July 1997   DOI   ScienceOn
10 N. Katoh, M. Ito, and S. Ohno, 'Threedimensional gamut mapping using various color difference formulae and color spaces,' Journla of Electronic Imaging, Vol. 8, pp. 365-379, Oct. 1999   DOI
11 M. D. Fairchild, Color Appearance Models, Addison-Wesley, 1998
12 G. J. Braun, 'A paradigm for color gamut mapping for pictorial images,' PhD Thesis, Rochester Institute of Technology, Oct. 1999
13 H. R. Kang, Color Technology for Electronic Image Device, SPIE Optical Engineering Press, 1996