|Title of host publication||IEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication date||Sep 2005|
|Pages||33 - 36|
|Number of pages||4|
|Conference||International Conference on Image Processing (2005)|
|Period||1/09/05 → …|
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.
Rose publication type: Conference contribution
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- component, multi-view, disparity compensation, inband prediction, ODWT, scalability
International Conference on Image Processing (2005)
|Duration||1 Sep 2005 → …|