Name
Abstract | ||
|---|---|---|
This paper presents a boundary sharpening method for depth maps to improve synthesis view quality. In general, coded depth maps exhibit noise and artifacts around object boundaries, leading to ineffective view synthesis. In our approach, gradient information is used to extract depth boundary regions. Afterward, filtering based on distance, similarity, and direction is performed on such regions to replace depth values. The proposed algorithm was implemented on 3DV-ATM v0.3 as post-processing to coded depth maps. Experimental results showed 5.23% compared to the anchor results of 3DV-ATM v0.3. Subjective quality was improved as well. |
Year | Venue | Keywords |
|---|---|---|
2012 | APSIPA | video signal processing,image matching,synthesis view quality,boundary sharpening method,coded depth maps,depth values replacement,3d video view synthesis,depth boundary filtering,video coding,gradient information,gradient methods,ineffective view synthesis,filtering theory,distance-based filtering,depth boundary region extraction,subjective quality,3dv-atm v0.3,object boundaries |
DocType | ISSN | ISBN |
Conference | 2309-9402 | 978-1-4673-4863-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunseok Song | 1 | 11 | 4.07 |
| Cheon Lee | 2 | 26 | 3.30 |
| Woo-seok Jang | 3 | 0 | 0.34 |
| Yo-Sung Ho | 4 | 1288 | 146.57 |