High performance computational integral imaging system using multi-view video plus depth representation

Authors:
Shasha Shi;Patrick Gioia;Gérard Madec
Affiliations:
France Telecom R&D, Cesson Séévigné, France 35510 and Telecom Bretagne, Image and Information Processing Department, Technopôle Brest-Iroise, Brest, France 29238;France Telecom R&D, Cesson Séévigné, France 35510;Telecom Bretagne, Image and Information Processing Department, Technopôle Brest-Iroise, Brest, France 29238
Venue:
3D Research
Year:
2012

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Abstract

Integral imaging is an attractive auto-stereoscopic three-dimensional (3D) technology for next-generation 3DTV. But its application is obstructed by poor image quality, huge data volume and high processing complexity. In this paper, a new computational integral imaging (CII) system using multi-view video plus depth (MVD) representation is proposed to solve these problems. The originality of this system lies in three aspects. Firstly, a particular depth-image-based rendering (DIBR) technique is used in encoding process to exploit the inter-view correlation between different sub-images (SIs). Thereafter, the same DIBR method is applied in the display side to interpolate virtual SIs and improve the reconstructed 3D image quality. Finally, a novel parallel group projection (PGP) technique is proposed to simplify the reconstruction process. According to experimental results, the proposed CII system improves compression efficiency and displayed image quality, while reducing calculation complexity.