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Color Correction for Multi-view Images Using Relative Luminance and Chrominance Mapping Curves

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Abstract

In order to capture 3D scenes, a multi-view camera consisting of two or more cameras is widely used; however, color consistency among views is not guaranteed in many situations. In this paper, we design relative mapping curves with consideration of the properties of luminance and chrominance components to improve the consistency. The input images are categorized into source and reference views. We convert their color domain to the YUV color space, and estimate coefficients in the mapping curves by analyzing correspondences between the two views. After that, we generate lookup tables and convert the color distributions of the source views. From the experimental results, we confirm that our proposed method improves the visual quality of multi-view images and reduces Euclidean distances in the CIELab color space among views.

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References

  1. Kubota, A., Smolic, A., Magnor, M., Tanimoto, M., Chen, T., & Zhang, C. (2007). Multi-view imaging and 3DTV (special issue overview and introduction). IEEE Signal Processing Magazine, 24(6), 10–21.

    Article  Google Scholar 

  2. Smolic, A., Mueller, K., Merkle, P., Fehn, C., Kauff, P., Eisert, P., et al. (2006). 3D video and free viewpoint video - technologies, applications and MPEG standards. IEEE International Conference on Multimedia and Expo, 2161–2164.

  3. Tanimoto, M. (2006). Overview of free viewpoint television. Signal Processing: Image Communication, 21(6), 454–461.

    Article  Google Scholar 

  4. Bernardini, F., & Rushmeier, H. (2002). The 3D model acquisition pipeline. Computer Graphics Forum, 21(2), 149–172.

    Article  Google Scholar 

  5. Scharstein, D., & Szeliski, R. (2003). High-accuracy stereo depth maps using structured light. IEEE Conference on Computer Vision and Pattern Recognition, 195–202.

    Google Scholar 

  6. Gokturk, S. B., Yalcin, H., & Bamji, C. (2004). A Time-of-flight depth sensor - system description, issues and solutions. IEEE Conference on Computer Vision and Pattern Recognition, 35–35.

  7. Kang, Y. S., & Ho, Y. S. (2011). An efficient image rectification method for parallel multi-camera arrangement. IEEE Transactions on Consumer Electronics, 57(3), 1041–1048.

    Article  Google Scholar 

  8. Lee, E. K., & Ho, Y. S. (2011). Generation of high-quality depth maps using hybrid camera system for 3-D video. Journal of Visual Communication and Image Representation, 22(1), 73–84.

    Article  Google Scholar 

  9. Levoy, M., & Hanrahan, P. (1996). Light field rendering. SIGGRAPH, 33–42.

  10. Ilie, A., & Welch, G. (2005). Ensuring color consistency across multiple cameras. IEEE International Conference on Computer Vision, II, 1268–1275.

    Google Scholar 

  11. Joshi, N., Wilburn, B., Vaish, V., Levoy, M. & Horowitz, M. (2005). Automatic color calibration for large camera arrays. UCSD CSE Technical Report, CS2005-0821.

  12. Fecker, U., Barkowsky, M., & Kaup, A. (2008). Histogram-based prefiltering for luminance and chrominance compensation of multiview video. IEEE Transactions on Circuits and Systems for Video Technology, 18(9), 1258–1267.

    Article  Google Scholar 

  13. Chen, Y., Chen, J., & Cai, C. (2006). Luminance and chrominance correction for multi-view video using simplified color error model. Picture Coding Symposium, 2–17.

  14. Reinhard, E., Adhikhmin, M., Gooch, B., & Shirley, P. (2001). Color transfer between images. IEEE Computer Graphics and Applications, 21(5), 34–41.

    Article  Google Scholar 

  15. Jiang, G., Shao, F., Yu, M., Chen, K., & Chen, X. (2006). New color correction approach to multi-view images with region correspondence. Lecture Notes in Computer Science, 4113, 1224–1228.

    Article  Google Scholar 

  16. Yamamoto, K., Kitahara, M., Kimata, H., Yendo, T., Fujii, T., Tanimoto, M., et al. (2007). Multiview video coding using view interpolation and color correction. IEEE Transactions on Circuits and Systems for Video Technology, 17(11), 1436–1449.

    Article  Google Scholar 

  17. Hartley, R., Zisserman, A., & ebrary, I. (2003). Multiple view geometry in computer vision Cambridge University Press.

  18. Lowe, D. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91–110.

    Article  Google Scholar 

  19. Berns, R. S., Motta, R. J., & Gorzynski, M. E. (1993). CRT colorimetry. Part I: theory and practice. Color Research & Application, 18(5), 299–314.

    Article  Google Scholar 

  20. Gill, P. E., & Murray, W. (1978). Algorithms for the solution of the nonlinear least-squares problem. SIAM Journal on Numerical Analysis, 15(5), 977–992.

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

This research is supported by Ministry of Culture, Sports and Tourism(MCST) and Korea Creative Content Agency(KOCCA) in the Culture Technology(CT) Research & Development Program 2012.

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Correspondence to Jae-Il Jung.

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Jung, JI., Ho, YS. Color Correction for Multi-view Images Using Relative Luminance and Chrominance Mapping Curves. J Sign Process Syst 72, 107–117 (2013). https://doi.org/10.1007/s11265-012-0717-z

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  • DOI: https://doi.org/10.1007/s11265-012-0717-z

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