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 language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3484-3487 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479957514 |
| DOIs | |
| Publication status | Published - 2014 Jan 28 |
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All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Cite this
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Quality assessment of perceptual crosstalk in autostereoscopic display. / Kim, Jongyoo; Kim, Taewan; Lee, Sanghoon.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3484-3487 7025707.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Quality assessment of perceptual crosstalk in autostereoscopic display
AU - Kim, Jongyoo
AU - Kim, Taewan
AU - Lee, Sanghoon
PY - 2014/1/28
Y1 - 2014/1/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84949926358&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949926358&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2014.7025707
DO - 10.1109/ICIP.2014.7025707
M3 - Conference contribution
SP - 3484
EP - 3487
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -