Spectral Camera based on Ghost Imaging via Sparsity Constraints
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.
Cite
@article{arxiv.1506.08502,
title = {Spectral Camera based on Ghost Imaging via Sparsity Constraints},
author = {Zhentao Liu and Shiyu Tan and Jianrong Wu and Enrong Li and Xia Shen and Shensheng Han},
journal= {arXiv preprint arXiv:1506.08502},
year = {2016}
}