Quality assessment of perceptual crosstalk in autostereoscopic display

Jongyoo Kim, Taewan Kim, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crosstalk is one of the most annoying problems in an autostereoscopic display causing perceptual quality degradation and visual discomfort. To predict the perceived crosstalk when viewing an autostereoscopic display, it is necessary to consider the characteristics of human perception, displaying mechanism, viewing environment and so on. Therefor, we propose a novel metric for predicting the perceptual crosstalk that is based on human visual system (HVS); non-linear sensitivity of luminance and masking effects. The proposed model adopts the duplicated structure masking, yielding predictive power that is statistically superior to prior models that rely on 2D quality metric.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3484-3487
Number of pages4
ISBN (Electronic)9781479957514
DOIs
Publication statusPublished - 2014 Jan 28

Publication series

Name2014 IEEE International Conference on Image Processing, ICIP 2014

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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    Kim, J., Kim, T., & Lee, S. (2014). Quality assessment of perceptual crosstalk in autostereoscopic display. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 3484-3487). [7025707] (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025707