Compressive sensing for space image compressing-Reference-Cited by-同舟云学术

Compressive sensing for space image compressing

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 International Conference on Intelligent Information Processing - ICIIP '16
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Author:

Li Zheng¹,Xia Yuli¹,Ye Ruiqi²,Zhao Junsuo¹

Affiliation:

1. Institute of Software, Beijing, China

2. Shandong University, Jinan, Shandong, China

Publisher

ACM Press

Reference14 articles.

1. Candès, E., Romberg, J., and Tao, T. 2006. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information.IEEE Transactions on Information Theory.52, 2 (Jan. 2006), 489--509.

2. Donoho, D. 2006. Compressed sensing.IEEE Transactions on Information Theory.52, 4 (April. 2006), 1289--1306.

3. Bobin, J., Starck, J. L., and Ottensamer, R. 2008. Compressed sensing in astronomy.IEEE Journal of Selected Topics in Signal Processing.2, 5 (Dec. 2008), 718--726.

4. Hua, G., Xiang, Y., and Bi, G. 2016. When compressive sensing meets data hiding.IEEE Signal Processing Letters.23, 4 (March, 2016), 473--477.

5. AlSaafin, W., Villena, S., and Vega, M. 2016. Compressive sensing super resolution from multiple observations with application to passive millimeter wave images.Digital Signal Processing.50 (March. 2016), 180--190.

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