Name
Abstract | ||
|---|---|---|
This paper presents a novel method for stereo image quality assessment. A cyclopean image is generated using left and right images by applying Gabor features and visual displacement. The Information content weighting SSIM (IW-SSIM) and a new modified just noticeable difference considering both views are then applied for stereo image quality assessment. The results proves the effectiveness of our new assessment method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICMEW.2018.8551557 | 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | Field | DocType |
Stereo Image Quality Assessment,Cyclopean image,Binocular Just Noticeable Difference (BJND),Occlusion,Disparity | Computer vision,Weighting,Cyclopean image,Pattern recognition,Computer science,Artificial intelligence,Just-noticeable difference,Stereo image | Conference |
ISSN | ISBN | Citations |
2330-7927 | 978-1-5386-4196-5 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tien-Ying Kuo | 1 | 148 | 19.24 |
| Yu-Jen Wei | 2 | 0 | 1.01 |
| Kuan-Hung Wan | 3 | 0 | 0.34 |
| Shao-Jung Chuang | 4 | 0 | 0.34 |