Journal
OPTICS EXPRESS
Volume 24, Issue 10, Pages -Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.24.010476
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Funding
- National Natural Science Foundation of China [61307021]
- China Scholarship Council [201306025016]
- Royal Academy of Engineering
- Wolfson foundation
- EPSRC QuantIC [EP/M01326X/1]
- Royal Society
- EPSRC [EP/M01326X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/M01326X/1] Funding Source: researchfish
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Single-pixel cameras provide a means to perform imaging at wavelengths where pixelated detector arrays are expensive or limited. The image is reconstructed from measurements of the correlation between the scene and a series of masks. Although there has been much research in the field in recent years, the fact that the signal-to-noise ratio (SNR) scales poorly with increasing resolution has been one of the main limitations prohibiting the uptake of such systems. Microscanning is a technique that provides a final higher resolution image by combining multiple images of a lower resolution. Each of these low resolution images is subject to a sub-pixel sized lateral displacement. In this work we apply a digital microscanning approach to an infrared single-pixel camera. Our approach requires no additional hardware, but is achieved simply by using a modified set of masks. Compared to the conventional Hadamard based single-pixel imaging scheme, our proposed framework improves the SNR of reconstructed images by similar to 50% for the same acquisition time. In addition, this strategy also provides access to a stream of low-resolution 'preview' images throughout each high-resolution acquisition. (C) 2016 Optical Society of America
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