Abstract
We present an analysis of measurement quantization and rate allocation problems in compressive imaging and quantify its impact on image formation. Compressive imaging is compared with traditional image compression with respect to measurement data size.
| Original language | English (US) |
|---|---|
| Article number | JT5A.37 |
| Journal | Optics InfoBase Conference Papers |
| State | Published - 2015 |
| Event | Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials