| Title |
A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations |
| Authors |
Dinh Trieu Duong;Minh Le Dinh;Byeungwoo Jeon;Xiem HoangVan |
| DOI |
https://doi.org/10.5573/IEIESPC.2019.8.6.431 |
| Keywords |
3D-TV view synthesis; Depth-image-based rendering (DIBR); Image fusion; Temporal correlation; Disparity correlation |
| Abstract |
View synthesis like depth-image-based rendering (DIBR) plays a significant role in content creation for three-dimensional television. However, perceptual errors introduced by current view synthesis often result in severe distortions in synthesized images. In this paper, we propose a novel view synthesis fusion (VSF) method that adaptively exploits temporal and disparity correlations to improve the quality of the synthesized picture. The proposed VSF method defines a robust correlation assessment metric for fusing several pre-created virtual-view candidates. Unlike conventional methods, the proposed fusion algorithm is applied to both hole and non-hole areas.
Experimental results show the proposed method significantly outperforms in peak signal-to-noise ratio (PSNR) and subjective visual quality, compared to other conventional methods. |