Journal
OPTICS EXPRESS
Volume 22, Issue 6, Pages 7133-7144Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.22.007133
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Funding
- National Key Scientific Instrument and Equipment Development Project of China [2013YQ030595]
- National High Technology Research and Development Program of China [2011AA120102]
- State Key Development Program for Basic Research of China [2010CB922904]
- National Natural Science Foundation of China [61274024, 11375224]
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Compressed sensing is a theory which can reconstruct an image almost perfectly with only a few measurements by finding its sparsest representation. However, the computation time consumed for large images may be a few hours or more. In this work, we both theoretically and experimentally demonstrate a method that combines the advantages of both adaptive computational ghost imaging and compressed sensing, which we call adaptive compressive ghost imaging, whereby both the reconstruction time and measurements required for any image size can be significantly reduced. The technique can be used to improve the performance of all computational ghost imaging protocols, especially when measuring ultraweak or noisy signals, and can be extended to imaging applications at any wavelength. (c) 2014 Optical Society of America
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