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Improving Brightness for a Multi-projector Display Considering Image Content

  • Hee-Won Lee
  • Byung-Uk Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)

Abstract

Very large-area multi-projector display systems have wide applications since they provide immersive environments. The brightness of projectors in a system is not identical due to the design and aging of the bulbs, and optical properties of the projectors. Therefore, it is imperative to coordinate the brightness level and characteristics of projectors in the system. This issue has been addressed by many researchers. However, the state of the art solution has considered the characteristic of the projector’s brightness only. In this paper, we propose to take into account the dynamic range of the image content. We expand the dynamic range of the input image to utilize the maximum possible brightness of a projector while satisfying the spatial smoothness constraint. The proposed method achieves a seamless multi-display with impressive improvement of the brightness level.

Keywords

Input Image Maximum Brightness Brightness Level Saturated Pixel IEEE Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Chen, C.J.: Fundamentals of scalable high resolution seamlessly tiled projection system. SPIE, Projection Displays VII 4294, 67–74 (2001)Google Scholar
  2. 2.
    Hereld, M., Judson, I.R., Stevens, R.: Dottytoto: A measurement engine for aligning multi-projector display system. Argonne National Laboratory preprint ANL/MCS-P958-0502 (2002)Google Scholar
  3. 3.
    Stone, M.C.: Color and brightness appearance issues for tiled displays. Computer Graphics and Applications, 58–66 (2001)Google Scholar
  4. 4.
    Raskar, R.: Multi projector displays using camera based registration. In: IEEE Visualization, San Francisco, pp. 161–168 (1999)Google Scholar
  5. 5.
    Chen, H., Sukthankar, R., Wallace, G., Li, K.: Scalable alignment of large-format multi-projector displays using camera homography trees. In: IEEE Visualization, Boston, pp. 339–346 (2002)Google Scholar
  6. 6.
    Majumder, A., Stevens, R.: LAM: Luminance attenuation map for photometric uniformity in projected based display. In: ACM Virtual Reality and Software Technology (VRST), Hong Kong, pp. 147–154 (2002)Google Scholar
  7. 7.
    Chen, C.J., Johnson, M.: Fundamentals of scalable high resolution seamlessly tiled projection system. In: SPIE Projection Displays VII, San Jose, vol. 4294, pp. 67–74 (2001)Google Scholar
  8. 8.
    Majumder, A.: Achieving color uniformity across multi-projector displays. In: IEEE Visualization, Salt Lake City, pp. 117–124 (2000)Google Scholar
  9. 9.
    Wallace, G., Chen, H., Li, K.: Color gamut matching for tiled display walls. In: Proc. of Immersive Projection Technology Symposium, pp. 293–302 (2003)Google Scholar
  10. 10.
    Majumder, A.: Properties of color variation across multi-projector displays, SID Eurodisplay, Nice, France (2002)Google Scholar
  11. 11.
    Majumder, A.: Contrast enhancement of multi-displays using human contrast sensitivity. In: IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, pp. 377–382 (2005)Google Scholar
  12. 12.
    Pratt, W.K.: Digital Image Processing, 3rd edn. John Wiley & Sons, Inc., New York (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hee-Won Lee
    • 1
  • Byung-Uk Lee
    • 1
  1. 1.Department of Information ElectronicsEwha Womans University 

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