Compressive spectral imaging systems based on linear detector

Yanli Liu; Xiaoming Zhong; Haibo Zhao; Huan Li

doi:10.1117/12.2190522

5 August 2015 Compressive spectral imaging systems based on linear detector

Yanli Liu; Xiaoming Zhong; Haibo Zhao; Huan Li

Author Affiliations +

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 962207 (2015) https://doi.org/10.1117/12.2190522
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

The spectrometers capture large amount of raw and 3-dimensional (3D) spatial-spectral scene information with 2- dimensional (2D) focal plane arrays(FPA). In many applications, including imaging system and video cameras, the Nyquist rate is so high that too many samples result, making compression a precondition to storage or transmission. Compressive sensing theory employs non-adaptive linear projections that preserve the structure of the signal, the signal is then reconstructed from these projections using an optimization process. This article overview the fundamental spectral imagers based on compressive sensing, the coded aperture snapshot spectral imagers (CASSI) and high-resolution imagers via moving random exposure. Besides that, the article propose a new method to implement spectral imagers with linear detector imager systems based on spectrum compressed. The article describes the system introduction and code process, and it illustrates results with real data and imagery. Simulations are shown to illustrate the performance improvement attained by the new model and complexity of the imaging system greatly reduced by using linear detector.

Citation Download Citation

Yanli Liu, Yanli Liu, Xiaoming Zhong, Xiaoming Zhong, Haibo Zhao, Haibo Zhao, Huan Li, Huan Li, } "Compressive spectral imaging systems based on linear detector", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 962207 (5 August 2015); doi: 10.1117/12.2190522; https://doi.org/10.1117/12.2190522

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