Conference paper
Lossless Compression of Stereo Disparity Maps for 3D
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.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 617-622 |
| Proceedings: | 3rd IEEE International Workshop on Hot Topics in 3D |
| ISBN: | 076954729X , 076954729x , 1467320277 , 9780769547299 and 9781467320276 |
| Types: | Conference paper |
| DOI: | 10.1109/ICMEW.2012.113 |
| ORCIDs: | Forchhammer, Søren |
3D Art Codecs Context-Coding Decoding Encoding Image coding Image resolution Standards accurate view synthesis bit-plane coding content-based retrieval context-based arithmetic coding data compression disparity data disparity prediction disparity warping image coding image compression lossless compression multiview communication progressive representation stereo case stereo disparity images stereo disparity maps stereo image processing texture plus depth format
