Compressive hyperspectral imaging

Qi Cui; Liang Gao

doi:10.1117/12.3003319

13 March 2024 Compressive hyperspectral imaging

Qi Cui, Liang Gao

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC1285707 (2024) https://doi.org/10.1117/12.3003319
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Traditional hyperspectral imaging systems employ scanning or down-sampling along each dimension axis, leading to prolonged acquisition times or reduced resolutions. To remedy this problem, we propose two spectral imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS). I will discuss system design and applications of those systems.

Conference Presentation

Citation Download Citation

Qi Cui and Liang Gao "Compressive hyperspectral imaging", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC1285707 (13 March 2024); https://doi.org/10.1117/12.3003319

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