Skip to search boxSkip to navigationSkip to main content

Multiview image compression using a layer-based representation

  • Imperial College London
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The authors propose a novel compression method for multiview images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers characterized by a constant depth value. For efficient compression, the partitioned data is decorrelated using the separable three-dimensional wavelet transform across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. The generated transform coefficients are entropy coded. Experimental results show that our coding method is capable of outperforming the state-of-the-art algorithms, like H.264/AVC, for different data sets.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 03/12/2010

Publication status

Published - 03/12/2010

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424479931

External Publication IDs

  • handle.net: 10547/292611
  • Scopus: 78651111057

Host publication title

nan

Access to documents

Publication metrics