Adaptive Generation of Color Anaglyph

  • Elena Patana
  • Ilia Safonov
  • Michael Rychagov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7870)

Abstract

Nowadays stereophotography is rapidly developing, providing a plenty of sources for stereoimages. The goal of current technology – to provide users with possibility to get high quality 3D anaglyph prints for education and entertainment. To do so it is necessary to agree color characteristics of glasses and printed colors, since errors in color transmission lead to cross-talk interference and ghosting effects. There is no easy way for user to adjust colors of anaglyph in order to coordinate characteristics of glasses and printer.

We propose a technique that allows generating anaglyphs with colors adapted to given glasses and printer colors by means of special color pattern analysis. In addition, our approach takes into account the size of the printed anaglyph image. Resulting printed images have a good quality that is confirmed by user opinion survey. The images contain fewer artifacts and look better in comparison to anaglyphs without adaptation, which are generated in existing software applications. The technique utilizes a low amount of memory and has low computational complexity.

Keywords

Anaglyph stereo printing crosstalk noise ghosting reduction 

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References

  1. 1.
    Franklin, C.: Summed-area Tables for Texture Mapping. In: 11th Annual Conference on Computer Graphics and Interactive Techniques SIGGRAPH 1984, New York, pp. 207–212 (1984)Google Scholar
  2. 2.
    Dubois, E.: A Projection Method to Generate Anaglyph Stereo Images. In: IEEE International Conference on Acoustic, Speech, and Signal Processing, vol. 3, pp. 1661–1664. IEEE Press, Salt Lake City (2001)Google Scholar
  3. 3.
    Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics. Principles and Practice, 2nd edn. (1990)Google Scholar
  4. 4.
    Ideses, I., Yaroslavsky, L.: Three Methods That Improve the Visual Quality of Colour Anaglyphs. J. Opt. A: Pure Appl. Opt. 7, 755–762 (2005)CrossRefGoogle Scholar
  5. 5.
    Lo, W.-Y., van Baar, J., Knaus, C., Zwicker, M., Gross, M.: Stereoscopic 3D Copy & Paste. ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2010 29(6) (2010)Google Scholar
  6. 6.
    McAllister, D.F., Zhoub, Y., Sullivan, S.: Methods for Computing Color Anaglyphs. In: Stereoscopic Displays and Application XXI, SPIE Electronic Imaging, San Jose, vol. 7524 (2010)Google Scholar
  7. 7.
    Rziza, M., Aboutajdine, D.: Dense Disparity Map Estimation Using CUMULANTS. In: 18th IEEE International Conference on Image Processing, p. 984. IEEE Press, Brussels (2011)Google Scholar
  8. 8.
    Saaty, T.L.: Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, New Edition. Analytic Hierarchy Process Series, vol. 2 (2001)Google Scholar
  9. 9.
    Sanders, W., McAllister, D.F.: Producing Anaglyphs from Synthetic Images. In: Electronic Imaging Conference, San Francisco, pp. 348–358 (2003)Google Scholar
  10. 10.
    Yun, Z., Pingping, X., Hui, L.: Data Fusion for Multi-scale Colour 3D Satellite Image Generation and Global 3D Visualization. In: ISPRS Commission VII Midterm Symposium on Remote Sensing: From Pixels to Processes, Enschede (2006)Google Scholar
  11. 11.
    Zeng, R., Zeng, H.: Printing Anaglyph Maps Optimized for Display. In: XVI Conference on Color Imaging: Displaying, Processing, Hardcopy, and Applications - Proceedings of SPIE, 0277-786X, v.7874, San Francisco, vol. 7866-63 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Elena Patana
    • 1
  • Ilia Safonov
    • 1
  • Michael Rychagov
    • 1
  1. 1.Samsung Moscow Research CenterMoscowRussia

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