Name
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. |
Year | Venue | Keywords |
|---|---|---|
2018 | 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Visual preference, subjective preference assessment, contrast and sharpness enhancement, viewing geometry, ultra-high-definition |
Field | DocType | ISSN |
Computer vision,High definition,Terminology,Display size,Computer science,Visualization,Correlation,Artificial intelligence,Image resolution | Conference | 1522-4880 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sewoong Ahn | 1 | 20 | 4.49 |
| Woojae Kim | 2 | 2 | 2.78 |
| Jinwoo Kim | 3 | 1918 | 168.52 |
| Jaekyung Kim | 4 | 0 | 0.34 |
| Sanghoon Lee | 5 | 740 | 97.47 |