TY - GEN
T1 - Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display
AU - Ahn, Sewoong
AU - Kim, Woojae
AU - Kim, Jinwoo
AU - Kim, Jaekyung
AU - Lee, Sanghoon
N1 - Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/8/29
Y1 - 2018/8/29
N2 - Due to the evolution of ultra-high-definition (UHD) technologies, viewers can enjoy more realistic contents. Furthermore, in order to maximize visual attraction, post-processing is conducted in commercial devices. In this paper, we propose a new terminology called visual preference to quantify viewer's preferences for sharpness- and contrast- enhanced UHD images in a particular viewing geometry. Visual preferences depend on the spatial characteristics and are affected by the viewing geometry of display like resolution, display size, and viewing distance. Therefore, we propose a method called visual preference assessment model that accounts for content enhancement features and diverse viewing geometry. By rigorous experiments, our proposed model outperforms other state-of-the-art models.
AB - Due to the evolution of ultra-high-definition (UHD) technologies, viewers can enjoy more realistic contents. Furthermore, in order to maximize visual attraction, post-processing is conducted in commercial devices. In this paper, we propose a new terminology called visual preference to quantify viewer's preferences for sharpness- and contrast- enhanced UHD images in a particular viewing geometry. Visual preferences depend on the spatial characteristics and are affected by the viewing geometry of display like resolution, display size, and viewing distance. Therefore, we propose a method called visual preference assessment model that accounts for content enhancement features and diverse viewing geometry. By rigorous experiments, our proposed model outperforms other state-of-the-art models.
UR - http://www.scopus.com/inward/record.url?scp=85062905740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062905740&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2018.8451330
DO - 10.1109/ICIP.2018.8451330
M3 - Conference contribution
AN - SCOPUS:85062905740
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3548
EP - 3552
BT - 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PB - IEEE Computer Society
T2 - 25th IEEE International Conference on Image Processing, ICIP 2018
Y2 - 7 October 2018 through 10 October 2018
ER -