Three-dimensional Chebyshev Phasor Denoising of Hyperspectral Images

Rebecca C. Harman; Rebecca C. Harman; Ryan T. Lang; Ryan T. Lang; Eric M. Kercher; Eric M. Kercher; Bryan Q. Spring; Bryan Q. Spring; Bryan Q. Spring

doi:10.1364/OMP.2021.OM2E.5

Biophotonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper OM2E.5
•https://doi.org/10.1364/OMP.2021.OM2E.5

Three-dimensional Chebyshev Phasor Denoising of Hyperspectral Images

Rebecca C. Harman, Ryan T. Lang, Eric M. Kercher, and Bryan Q. Spring

Optical Molecular Probes, Imaging and Drug Delivery 2021

Washington, DC United States
12–16 April 2021
ISBN: 978-1-943580-85-9

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R. C. Harman, R. T. Lang, E. M. Kercher, and B. Q. Spring, "Three-dimensional Chebyshev Phasor Denoising of Hyperspectral Images," in Biophotonics Congress 2021, C. Boudoux, K. Maitland, C. Hendon, M. Wojtkowski, K. Quinn, M. Schanne-Klein, N. Durr, D. Elson, F. Cichos, L. Oddershede, V. Emiliani, O. Maragò, S. Nic Chormaic, N. Pégard, S. Gibbs, S. Vinogradov, M. Niedre, K. Samkoe, A. Devor, D. Peterka, P. Blinder, and E. Buckley, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper OM2E.5.

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Abstract

We present a denoising algorithm for hyperspectral images that utilizes a transformation to 3-dimensional spectral phasor space. This method improves peak signal-to-noise ratio in a simulated image while preserving spatial information.

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