Abstract
The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final enhancement layer.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th IEEE International Conference on Image Processing (ICIP) |
| Place of Publication | New York |
| Publisher | IEEE |
| Pages | 921-924 |
| Number of pages | 4 |
| ISBN (Print) | 9781457713040 |
| DOIs | |
| Publication status | Published - Sep 2011 |
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Keywords
- compressive imaging
- scalable coding
- compressive sampling
- scalable compressive video
- discrete cosine transforms
- vectors
- systematics
- imaging
- image reconstruction
- image coding
Cite this
Stankovic, V., Stankovic, L., & Cheng, S. (2011). Scalable compressive video. In Proceedings of the 18th IEEE International Conference on Image Processing (ICIP) (pp. 921-924). New York: IEEE. https://doi.org/10.1109/ICIP.2011.6116710