Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 3548-3552 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479970612 |
| DOIs | |
| Publication status | Published - 2018 Aug 29 |
| Event | 25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece Duration: 2018 Oct 7 → 2018 Oct 10 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| ISSN (Print) | 1522-4880 |
Conference
| Conference | 25th IEEE International Conference on Image Processing, ICIP 2018 |
|---|---|
| Country | Greece |
| City | Athens |
| Period | 18/10/7 → 18/10/10 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
}
Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. / Ahn, Sewoong; Kim, Woojae; Kim, Jinwoo; Kim, Jaekyung; Lee, Sanghoon.
2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. p. 3548-3552 8451330 (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
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
ER -