Browse > Article

Implementation of the Color Matching Between Mobile Camera and Mobile LCD Based on RGB LUT  

Son Chang-Hwan (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Park Kee-Hyon (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Lee Cheol-Hee (Major of Computer Engineering, Andong National Univ.)
Ha Yeong-Ho (School of Electrical Engineering and Computer Science, Kyungpook National Univ.)
Publication Information
Abstract
This paper proposed device-independent color matching algorithm based on the 3D RGB lookup table (LUT) between mobile camera and mobile LCD (Liquid Crystal Display) to improve the color-fidelity. Proposed algorithm is composed of thee steps, which is device characterization, gamut mapping, 3D RGB-LUT design. First, the characterization of mobile LCD is executed using the sigmoidal function, different from conventional method such as GOG (Gain Offset Gamma) and S-curve modeling, based on the observation of electro-optical transfer function of mobile LCD. Next, mobile camera characterization is conducted by fitting the digital value of GretagColor chart captured under the daylight environment (D65) and tristimulus values (CIELAB) using the polynomial regression. However, the CIELAB values estimated by polynomial regression exceed the maximum boundary of the CIELAB color space. Therefore, these values are corrected by linear compression of the lightness and chroma. Finally, gamut mapping is used to overcome the gamut difference between mobile camera and moible LCD. To implement the real-time processing, 3D RGB-LUT is designed based on the 3D RGB-LUT and its performance is evaluated and compared with conventional method.
Keywords
Mobile characterization; Gamut mapping; Color matching; Independent color space;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. R. Kang, Color Technology for Electronic Image Device, SPIE Optical Engineering Press, 1996
2 C. S. Lee, Y. W. Park, S. J. Cho, and Y. H. Ha, 'Gamut mapping algorithm using lightness mapping and multiple anchor points for linear tone and maximum chroma reproduction,' Journal of Imaging Science and Technology, vol. 45, no. 3, pp. 209-223, May/June 2001
3 M. R. Pointer, G. G. Attridge, and R. E. Jacobson, 'Practical camera characterization for colour measurement,' The Imaging Science Journal, vol. 49, no. 2, pp. 63-80, July 2001
4 N. Tamura, N. Tusmura, and Y. Miyake, 'Masking model for accurate colorimetric characterization of LCD,' Tenth Color Imaging Conference: Color Science and Engineering, Scottsdale, U.S.A., pp. 312-316, Nov. 2002
5 M. D. Fairchild, Color Appearance Models, Addison-Wesley, 1998
6 G. Hong, M. R. Luo, and P. A. Ronnier, 'A study of digital camera colorimetric characterization based on polynomial modeling,' Color Research and Application, vol. 26, no. 1, pp. 76-84, Feb. 2001   DOI   ScienceOn
7 Y. S. Kwak and L. W. MacDonald, 'Characterisation of a desktop LCD projector,' Displays, vol. 21, no. 5, pp. 179-194, Dec. 2000   DOI   ScienceOn
8 J. Y. Hardeberg, Acquisition and reproduction of color Images: Colorimetric and multispectral approaches, Dissertation.com, 2001
9 R. S. Berns, 'Methods for characterizing CRT displays,' Displays, vol. 16, no. 4, pp. 173- 182, May 1996   DOI   ScienceOn
10 J. Luo, 'Displaying images on mobile device: capabilities, issues, and solutions,' Wirel. Commun. Mob. Comput., pp. 585-594, 2002   DOI   ScienceOn