Publication: Research - peer-review › Article in proceedings – Annual report year: 2012
Efficient compression of disparity data is important for accurate view synthesis purposes in multi-view communication systems based on the “texture plus depth” format, including the stereo case. In this paper a novel technique for lossless compression of stereo disparity images is presented. The coding algorithm is based on bit-plane coding, disparity prediction via disparity warping and context-based arithmetic coding exploiting predicted disparity data. Experimental results show that the proposed compression scheme achieves average compression factors of about 48:1 for high resolution disparity maps for stereo pairs and outperforms different standard solutions for lossless still image compression. Moreover, it provides a progressive representation of disparity data as well as a parallelizable structure.
|Title||2012 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)|
|Conference||3rd IEEE International Workshop on Hot Topics in 3D|
|Period||13/07/12 → …|
The Hot3D Workshop is co-located with ICME 2012.
|Citations||Web of Science® Times Cited: 2|
- Lossless Coding, Stereo Disparity Images, Context- Coding, Disparity Warping, 3DTV
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