Improved High Dynamic Range Video Coding with a Nonlinearity based on Natural Image Statistics

نویسندگان

  • Yasuko Sugito
  • Praveen Cyriac
  • David Kane
  • Marcelo Bertalmío
چکیده

High dynamic range (HDR) technologies support the capture and presentation of a wider range of luminance values than conventional systems. An important element of video processing is the transfer function which should emulate human perception and this needs to be revisited for HDR content and displays. In the paper, we adapt a nonlinearity designed for the tonemapping problem to the problem of video coding. We test the nonlinearity using the Motion Picture Experts Group methodology and find it can outperform existing methods in terms of HDR video quality measure.

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تاریخ انتشار 2017