Journal
OPTICA
Volume 5, Issue 3, Pages 315-319Publisher
OPTICAL SOC AMER
DOI: 10.1364/OPTICA.5.000315
Keywords
-
Categories
Funding
- National Natural Science Foundation of China (NSFC) [61475064]
- National Science Foundation (NSF) [1510077, 1555986, 1700941]
- National Institutes of Health (NIH) [R03EB022144, R21EB022378]
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1555986] Funding Source: National Science Foundation
- Div Of Industrial Innovation & Partnersh
- Directorate For Engineering [1700941] Funding Source: National Science Foundation
Ask authors/readers for more resources
Single-pixel imaging can capture images using a detector without spatial resolution, which enables imaging in various situations that are challenging or impossible with conventional pixelated detectors. Here we report a compressive single-pixel imaging approach that can simultaneously encode and recover spatial, spectral, and 3D information of the object. In this approach, we modulate and condense the object information in the Fourier space and detect the light signals using a single-pixel detector. The data-compressing operation is similar to conventional compression algorithms that selectively store the largest coefficients of a transform domain. In our implementation, we selectively sample the largest Fourier coefficients, and no iterative optimization process is needed in the recovery process. We demonstrate an 88% compression ratio for producing a high-quality full-color 3D image. The reported approach provides a solution for information multiplexing in single-pixel imaging settings. It may also generate new insights for developing multi-modality computational imaging systems. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available