scholarly journals Data Compression and Fast Segmentation for Massively-Parallel Interferometric Spectral-Imaging Systems

1992 ◽  
Vol 28 (1) ◽  
pp. 170-171
Author(s):  
Kazuyoshi ITOH ◽  
Takashi INOUE ◽  
Yoshiki ICHIOKA
Keyword(s):  
Data Compression ◽  
Spectral Imaging ◽  
Imaging Systems ◽  
Massively Parallel

Analysis of background irradiation in thermal IR hyper-spectral imaging systems

2010 ◽  
Author(s):  
Weiming Xu ◽  
Liyin Yuan ◽  
Ying Lin ◽  
Zhiping He ◽  
Rong Shu ◽  
...  
Keyword(s):  
Spectral Imaging ◽  
Imaging Systems ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging

Compressive spectral imaging systems based on linear detector

2015 ◽  
Author(s):  
Yanli Liu ◽  
Xiaoming Zhong ◽  
Haibo Zhao ◽  
Huan Li
Keyword(s):  
Spectral Imaging ◽  
Imaging Systems ◽  
Linear Detector

Information-theoretic assessment of imaging systems via data compression

2001 ◽  
Author(s):  
Bruno Aiazzi ◽  
Luciano Alparone ◽  
Stefano Baronti
Keyword(s):  
Data Compression ◽  
Imaging Systems ◽  
Information Theoretic

Reliability of confocal microscopy spectral imaging systems: Use of multispectral beads

2007 ◽  
Vol 71A (3) ◽  
pp. 174-189 ◽  
Author(s):  
Robert M. Zucker ◽  
Paul Rigby ◽  
Ian Clements ◽  
Wendy Salmon ◽  
Michael Chua
Keyword(s):  
Confocal Microscopy ◽  
Spectral Imaging ◽  
Imaging Systems

Aberration analysis of AOTF-based spectral imaging systems

2017 ◽  
Vol 34 (7) ◽  
pp. 1109 ◽  
Author(s):  
Alexander Machikhin ◽  
Vladislav Batshev ◽  
Vitold Pozhar
Keyword(s):  
Spectral Imaging ◽  
Imaging Systems

scholarly journals Compressive dual-comb spectroscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Akira Kawai ◽  
Takahiro Kageyama ◽  
Ryoichi Horisaki ◽  
Takuro Ideguchi
Keyword(s):  
Numerical Simulation ◽  
High Resolution ◽  
Data Compression ◽  
Mole Fraction ◽  
Molecular Species ◽  
Data Stream ◽  
Massively Parallel ◽  
Compression Rate ◽  
Mid Infrared ◽  
Significant Data

AbstractBroadband, high resolution, and rapid measurements of dual-comb spectroscopy (DCS) generate a large amount of data stream. We numerically demonstrate significant data compression of DCS spectra by using a compressive sensing technique. Our numerical simulation shows a compression rate of more than 100 with a 3% error in mole fraction estimation of mid-infrared (MIR) DCS of two molecular species in a broadband (~ 30 THz) and high resolution (~ 115 MHz) condition. We also numerically demonstrate a massively parallel MIR DCS spectrum of 10 different molecular species can be reconstructed with a compression rate of 10.5 with a transmittance error of 0.003 from the original spectrum.

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