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.
|Title of host publication||2014 IEEE International Conference on Image Processing, ICIP 2014|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2014 Jan 28|
|Name||2014 IEEE International Conference on Image Processing, ICIP 2014|
Bibliographical notePublisher Copyright:
© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition