Fast hyperspectral imaging via spectral undersampling using a digital micromirror device architecture

Calum Williams; Isabelle Racicot; Sarah E. Bohndiek

doi:10.1117/12.3001587

13 March 2024 Fast hyperspectral imaging via spectral undersampling using a digital micromirror device architecture

Calum Williams, Isabelle Racicot, Sarah E. Bohndiek

Proceedings Volume PC12900, Emerging Digital Micromirror Device Based Systems and Applications XVI; PC1290001 (2024) https://doi.org/10.1117/12.3001587
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

Hyperspectral imaging (HSI) captures spatial and spectral information from a scene. Conventional scanning HSI systems often yield low optical throughput, slow frame rates, large datasets and/or resolution trade-offs. One can exploit spectral compression in applications where spectral information is sparse in some representation and illumination is controllable, like optical endoscopy. This work experimentally demonstrates fast HSI using a compressed sensing architecture involving a programmable illuminator and a fast monochrome camera. We reconstruct the scene’s hypercube, showing high PSNR (up to 39 for 10 measurements). Our versatile implementation offers higher optical throughput, smaller acquisition times and data volumes compared to conventional HSI approaches.

Conference Presentation

Citation Download Citation

Calum Williams, Isabelle Racicot, and Sarah E. Bohndiek "Fast hyperspectral imaging via spectral undersampling using a digital micromirror device architecture", Proc. SPIE PC12900, Emerging Digital Micromirror Device Based Systems and Applications XVI, PC1290001 (13 March 2024); https://doi.org/10.1117/12.3001587

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