HVS based histogram adjustment for tone mapping

  • Authors:
  • Ishtiaq Rasool Khan;Zhiyong Huang;Farzam Farbiz;Corey Manders;Susanto Rahardja

  • Affiliations:
  • A*STAR Institute for Infocomm Research, Singapore;A*STAR Institute for Infocomm Research, Singapore;A*STAR Institute for Infocomm Research, Singapore;A*STAR Institute for Infocomm Research, Singapore;A*STAR Institute for Infocomm Research, Singapore

  • Venue:
  • ACM SIGGRAPH ASIA 2009 Sketches
  • Year:
  • 2009

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Abstract

Global tone mapping operators (TMOs) are better in preserving the naturalness and relative illumination of the HDR scene compared to the local TMOs. However, they cannot preserve the details like the local TMOs. We propose a human visual system (HVS) based histogram method for global tone mapping, which can better preserve the details than the existing global TMOs. Our method can be incorporated to all histogram based global methods. We compare our results with traditional histogram adjustment by Ward et al. [Larson97] and photographic TMO [Reinhard2002], and in most of the cases our method is better in preserving the details of the input HDR images.