%0 Journal Article
%@ 2287-5255
%A Dinh, Trieu Duong
%A Le Dinh, Minh
%A Byeungwoo, Jeon
%A Hoang, Van Xiem
%D 2019
%F SisLab:3454
%I The Institute of Electronics and Information Engineers (IEIE)
%J IEIE Trans. on Smart Processing and Computing
%T A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3454/
%X View synthesis like Depth-image-based-rendering (DIBR) plays a significant role in 3D content creation for 3D-TV. 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 which 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 for both hole and non-hole areas. Experimental results show significantly outperforming peak signal-to noise ratio (PSNR) and subjective visual quality by the proposed method compared to other conventional methods.