Paper
19 December 2013 Research on the principle and experimentation of optical compressive spectral imaging
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Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 904522 (2013) https://doi.org/10.1117/12.2043147
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
Abstract
The optical compressive spectral imaging method is a novel spectral imaging technique that draws in the inspiration of compressed sensing, which takes on the advantages such as reducing acquisition data amount, realizing snapshot imaging, increasing signal to noise ratio and so on. Considering the influence of the sampling quality on the ultimate imaging quality, researchers match the sampling interval with the modulation interval in former reported imaging system, while the depressed sampling rate leads to the loss on the original spectral resolution. To overcome that technical defect, the demand for the matching between the sampling interval and the modulation interval is disposed of and the spectral channel number of the designed experimental device increases more than threefold comparing to that of the previous method. Imaging experiment is carried out by use of the experiment installation and the spectral data cube of the shooting target is reconstructed with the acquired compressed image by use of the two-step iterative shrinkage/thresholding algorithms. The experimental result indicates that the spectral channel number increases effectively and the reconstructed data stays high-fidelity. The images and spectral curves are able to accurately reflect the spatial and spectral character of the target.
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Yuheng Chen, Xinhua Chen, Jiankang Zhou, Yiqun Ji, and Weimin Shen "Research on the principle and experimentation of optical compressive spectral imaging", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 904522 (19 December 2013); https://doi.org/10.1117/12.2043147
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KEYWORDS
Modulation

Imaging spectroscopy

Imaging systems

Sensors

Image compression

Data acquisition

Reconstruction algorithms

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