Multi-view image coding with wavelet lifting and in-band disparity compensation

N Anantrasirichai, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Citations (Scopus)
408 Downloads (Pure)


This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by overcomplete discrete wavelet transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.
Translated title of the contributionMulti-view image coding with wavelet lifting and in-band disparity compensation
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages33 - 36
Number of pages4
ISBN (Print)0780391349
Publication statusPublished - Sept 2005
EventInternational Conference on Image Processing (2005) - Genoa
Duration: 1 Sept 2005 → …


ConferenceInternational Conference on Image Processing (2005)
Period1/09/05 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2005 IEEE. Reprinted from IEEE International Conference on Image Processing, 2005 (ICIP 2005).

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  • component
  • multi-view
  • disparity compensation
  • inband prediction
  • ODWT
  • scalability


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