Disparity Remapping by Nonlinear Perceptual Discrimination

نویسندگان

  • Chien Wu
  • Chung-Te Li
  • Yen-Chieh Lai
  • Chao-Chung Cheng
  • Liang-Gee Chen
چکیده

This paper presents a nonlinear disparity remapping processing to adjust the disparity information to be suitable for human visual system. The proposed algorithm is based on psychological experimental result about incremental disparity discrimination. We evaluate the proposed method by subjective-view, and the result shows that our nonlinear disparity remapping not only improves perceptual feeling, but also provides a much more comfortable viewing experience. Keywords--Stereo perception, Disparity remapping, visual comfortable.

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تاریخ انتشار 2010