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Proceedings Paper

Centralized and interactive compression of multiview images
Author(s): Andriy Gelman; Pier Luigi Dragotti; Vladan Velisavljević
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Paper Abstract

In this paper, we propose two multiview image compression methods. The basic concept of both schemes is the layer-based representation, in which the captured three-dimensional (3D) scene is partitioned into layers each related to a constant depth in the scene. The first algorithm is a centralized scheme where each layer is de-correlated using a separable multi-dimensional wavelet transform applied across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. Although the method achieves a high compression rate, the joint encoding approach requires the transmission of all data to the users. By contrast, in an interactive setting, the users request only a subset of the captured images, but in an unknown order a priori. We address this scenario in the second algorithm using Distributed Source Coding (DSC) principles which reduces the inter-view redundancy and facilitates random access at the image level. We demonstrate that the proposed centralized and interactive methods outperform H.264/MVC and JPEG 2000, respectively.

Paper Details

Date Published: 23 September 2011
PDF: 15 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81350J (23 September 2011); doi: 10.1117/12.895982
Show Author Affiliations
Andriy Gelman, Imperial College London (United Kingdom)
Pier Luigi Dragotti, Imperial College London (United Kingdom)
Vladan Velisavljević, Deutsche Telekom Labs. (Germany)

Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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