外文题目: Spectral Camera based on Ghost Imaging via Sparsity Constraints
作者: Liu, Zhentao; Tan, Shiyu; Wu, Jianrong; Li, Enrong; Shen, Xia; Han, Shensheng
刊名: Sci Rep
年: 2016 卷: 6 文章编号：25718
英文关键词:

NEAR-FIELD; INFORMATION; SUPERRESOLUTION; DENSITY; SURFACE; SPECKLE; LIGHT
英文摘要:
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.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1038/srep25718


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