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 contribution||Multi-view image coding with wavelet lifting and in-band disparity compensation|
|Title of host publication||IEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||33 - 36|
|Number of pages||4|
|Publication status||Published - Sep 2005|
|Event||International Conference on Image Processing (2005) - Genoa|
Duration: 1 Sep 2005 → …
|Conference||International Conference on Image Processing (2005)|
|Period||1/09/05 → …|
Bibliographical noteRose publication type: Conference contribution
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- disparity compensation
- inband prediction