Back to Search
Start Over
Base-Anchored Model for Highly Scalable and Accessible Compression of Multiview Imagery.
- Source :
- IEEE Transactions on Image Processing; Jul2019, Vol. 28 Issue 7, p3205-3218, 14p
- Publication Year :
- 2019
-
Abstract
- We present a compression scheme for multiview imagery that facilitates high scalability and accessibility of the compressed content. Our scheme relies upon constructing at a single base view, a disparity model for a group of views, and then utilizing this base-anchored model to infer disparity at all views belonging to the group. We employ a hierarchical disparity-compensated inter-view transform where the corresponding analysis and synthesis filters are applied along the geometric flows defined by the base-anchored disparity model. The output of this inter-view transform along with the disparity information is subjected to spatial wavelet transforms and embedded block-based coding. Rate-distortion results reveal superior performance to the x.265 anchor chosen by the JPEG Pleno standards activity for the coding of multiview imagery captured by high-density camera arrays. [ABSTRACT FROM AUTHOR]
- Subjects :
- JPEG (Image coding standard)
WAVELET transforms
ANCHORS
Subjects
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 28
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 136510096
- Full Text :
- https://doi.org/10.1109/TIP.2019.2894968