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A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations

Dinh, Trieu Duong and Le Dinh, Minh and Byeungwoo, Jeon and Hoang, Van Xiem (2019) A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations. IEIE Trans. on Smart Processing and Computing . ISSN 2287-5255 (Submitted)

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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.

Item Type: Article
Subjects: Electronics and Communications
Information Technology (IT)
Scopus-indexed journals
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr. Xiem HoangVan
Date Deposited: 27 May 2019 08:29
Last Modified: 03 Jun 2019 04:11

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