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arXiv · 1506.08502

Spectral Camera based on Ghost Imaging via Sparsity Constraints

Zhentao Liu·Shiyu Tan·Jianrong Wu·Enrong Li·Xia Shen·Shensheng Han
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Abstract

The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the spectral images and combining with compressive sensing (CS) theory, a spectral camera based on true thermal light ghost imaging via sparsity constraints (GISC spectral camera) is proposed and demonstrated experimentally. GISC spectral camera can acquire the information at a rate significantly below the Nyquist rate, and the resolution of the cells in the three-dimensional (3D) spectral images data-cube can be achieved with a two-dimensional (2D) detector in a single exposure. For the first time, GISC spectral camera opens the way of approaching the Shannon Limit determined by Information Theory in optical imaging instruments.

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Zhentao Liu, Shiyu Tan, Jianrong Wu, Enrong Li, Xia Shen, Shensheng Han. 2016-02-24. Spectral Camera based on Ghost Imaging via Sparsity Constraints. https://doi.org/10.1038/srep25718

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