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Multiview image coding using depth layers and an optimized bit allocation

  • Imperial College London
Research Output:
Contribution to journal
Article
 Peer-review

Abstract

The authors present a novel wavelet-based compression algorithm for multiview images. This method uses a layer-based representation, where the 3-D scene is approximated by a set of depth planes with their associated constant disparities. The layers are extracted from a collection of images captured at multiple viewpoints and transformed using the 3-D discrete wavelet transform (DWT). The DWT consists of the 1-D disparity compensated DWT across the viewpoints and the 2-D shape-adaptive DWT across the spatial dimensions. Finally, the wavelet coefficients are quantized and entropy coded along with the layer contours. To improve the rate-distortion performance of the entire coding method, we develop a bit allocation strategy for the distribution of the available bit budget between encoding the layer contours and the wavelet coefficients. The achieved performance of our proposed scheme outperforms the state-of-the-art codecs for several data sets of varying complexity.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 4092-4105

Journal (Volume, Issue Number)

IEEE Transactions on Image Processing (Volume 21, Issue 9)

Publication milestones

  • Published - 01/01/2012

Publication status

Published - 01/01/2012

ISSN

1057-7149

Publication IDs

  • handle.net: 10547/292553
  • Scopus: 84865406214

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