Quality assessment of perceptual crosstalk in autostereoscopic display

Jongyoo Kim; Taewan Kim; Sanghoon Lee

doi:10.1109/ICIP.2014.7025707

Quality assessment of perceptual crosstalk in autostereoscopic display

Jongyoo Kim, Taewan Kim, Sanghoon Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1109/ICIP.2014.7025707
Publication status	Published - 2014 Jan 28

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICIP.2014.7025707

Cite this

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

@inproceedings{75aac8eff3d3446292c2aaef37784558,

title = "Quality assessment of perceptual crosstalk in autostereoscopic display",

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.",

author = "Jongyoo Kim and Taewan Kim and Sanghoon Lee",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

month = jan,

day = "28",

doi = "10.1109/ICIP.2014.7025707",

language = "English",

series = "2014 IEEE International Conference on Image Processing, ICIP 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3484--3487",

booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",

address = "United States",

}

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 (2014 IEEE International Conference on Image Processing, ICIP 2014).

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

AN - SCOPUS:84949926358

T3 - 2014 IEEE International Conference on Image Processing, ICIP 2014

SP - 3484

EP - 3487

BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Quality assessment of perceptual crosstalk in autostereoscopic display

Abstract

Publication series

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this