Spectral imaging with dual compressed sensing
Xue-Feng Liu, Wen-Kai Yu, Xu-Ri Yao, Bin Dai, Long-Zhen Li, Chao Wang,, Guang-Jie Zhai

TL;DR
This paper presents an experimental spectral imaging method using dual compressed sensing, enabling the capture of spectral images with a single detector by compressing both spectral and spatial data.
Contribution
The novel dual compressed sensing scheme allows spectral imaging with a single detector, improving stability and consistency over previous methods.
Findings
Spectral and spatial information dimensions are both compressed.
Spectral images of colored objects can be reconstructed with a single point detector.
The scheme offers a stable and consistent approach to spectral imaging.
Abstract
We experimentally demonstrated a spectral imaging scheme with dual compressed sensing. With the dimensions of spectral and spatial information both compressed, the spectral image of a colored object can be obtained with only a single point detector. The effect of spatial and spectral modulation numbers on the imaging quality is also analyzed. Our scheme provides a stable, highly consistent approach of spectral imaging.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Random lasers and scattering media · Optical Coherence Tomography Applications
