Adaptive computation of computer-generated holograms

  • Authors:
  • Shuhong Xu;Farzam Farbiz;Sanjeev Solanki;Xinan Liang;Xuewu Xu

  • Affiliations:
  • A*STAR Institute for Infocomm Research;A*STAR Institute for Infocomm Research;A*STAR Data Storage Institute;A*STAR Data Storage Institute;A*STAR Data Storage Institute

  • Venue:
  • VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
  • Year:
  • 2008

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Abstract

This paper proposes an adaptive approach for reducing the computational load of computer-generated holograms (CGHs). Instead of using the whole hologram plate resolution or carrying out point-wise judgment, this approach pre-divides the object space into subspaces and calculates an effective hologram plate region for each subspace according to interference fringe spatial frequency and grating diffraction energy distribution. As both the very low and very high spatial frequency portions are filtered out, the quality of the reconstructed image is even better in terms of sharpness. This space subdivision based approach also makes parallel CGH computing more straightforward. A simple load-balancing strategy is given.