relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3454/
title: A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations
creator: Dinh, Trieu Duong
creator: Le Dinh, Minh
creator: Byeungwoo, Jeon
creator: Hoang, Van Xiem
subject: Electronics and Communications
subject: Information Technology (IT)
subject: Scopus-indexed journals
description: 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.
publisher: The Institute of Electronics and Information Engineers (IEIE)
date: 2019
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3454/1/_system_appendPDF_proof_hi_2pages.pdf
identifier:   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)  
relation: http://www.ieiespc.org/