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

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

Content Provider	Springer Nature Link
Author	Shi, Shasha Gioia, Patrick Madec, Gérard
Copyright Year	2012
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.
Starting Page	1
Ending Page	9
Page Count	9
File Format	PDF
Journal	3D Research
Volume Number	3
Issue Number	4
e-ISSN	20926731
Language	English
Publisher	3D Display Research Center
Publisher Date	2012-09-15
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Computational integral imaging Multi-view plus depth (MVD) Depth-image-based rendering (DIBR) Image compression Computational reconstruction Parallelgroup projection (PGP) Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Optoelectronics, Plasmonics and Optical Devices
Content Type	Text
Resource Type	Article

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