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- Title
Compressed-Sensing-based Gradient Reconstruction for Ghost Imaging.
- Authors
Zhu, Rong; Li, Guangshun; Guo, Ying
- Abstract
In this paper, we propose a compression sensing ghost imaging algorithm to reduce the computation time with high image quality via compression sensing based on the total variation reconstruction. A small amount of measurements can be used for shortening the sampling time. The total variation is used as criteria during the search process. It makes the ghost image achieving a high image reconstruction quality. The simulation results demonstrate that the proposed method can enhance imaging quality with the reduced computation time.
- Subjects
IMAGE reconstruction algorithms; IMAGE compression; COMPRESSED sensing; IMAGE reconstruction
- Publication
International Journal of Theoretical Physics, 2019, Vol 58, Issue 4, p1215
- ISSN
0020-7748
- Publication type
Article
- DOI
10.1007/s10773-019-04013-x