23 September 2011 Centralized and interactive compression of multiview images
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andriy Gelman, Pier Luigi Dragotti, Vladan Velisavljević, "Centralized and interactive compression of multiview images", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81350J (23 September 2011); doi: 10.1117/12.895982; https://doi.org/10.1117/12.895982
PROCEEDINGS
15 PAGES


SHARE
Back to Top