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Layer based multi-view image compression

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

Abstract

The authors propose a compression algorithm for an array of multiview images. First, we apply a segmentation algorithm to partition the data into coherent layers and significantly reduce the number of images required for artifact-free rendering. Then, we exploit the coherence in each layer by applying a 1D disparity compensated wavelet transform across the views followed by a 2D SA-DWT on each of the spatial subbands. Finally, the data is entropy coded using a modified version of EBCOT. Experimental results show that our coder outperforms state-of-the-art H.264/AVC at low bit-rates and intra-image JPEG-2000 over the complete range of bit-rates. Furthermore, unlike other multi-view image compression techniques, our implementation does not rely on estimating a 3D geometric model of the scene.

Publication Information

Output type

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

Original language

English

Publication milestones

  • Published - 01/01/2009

Publication status

Published - 01/01/2009

Publisher

ICST

ISBN (Print)

9789639799622

ISBN (Electronic)

9789639799622

Publication IDs

  • handle.net: 10547/292572
  • Scopus: 85083937086

Host publication title

nan

Access to documents

Publication metrics

Related Event

Title

5th International ICST Mobile Multimedia Communications Conference (MobiMedia)

Description

5th International ICST Mobile Multimedia Communications Conference (MobiMedia) (07/09/2009-09/09/2009, London)

Event type

Conference

Date

07/09/2009 - 09/09/2009

Location

London