Compressed-domain Classification Algorithm for Spectral Imaging Based on Designed Single-Pixel Camera Codification

Karen Sanchez; Carlos Hinojosa; Hans Garcia; Henry Arguello; Sergio Castillo

doi:10.1364/COSI.2021.CTu2F.5

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CTu2F.5
•https://doi.org/10.1364/COSI.2021.CTu2F.5

Compressed-domain Classification Algorithm for Spectral Imaging Based on Designed Single-Pixel Camera Codification

Karen Sanchez, Carlos Hinojosa, Hans Garcia, Henry Arguello, and Sergio Castillo

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Single Pixel Imaging (CTu2F)

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K. Sanchez, C. Hinojosa, H. Garcia, H. Arguello, and S. Castillo, "Compressed-domain Classification Algorithm for Spectral Imaging Based on Designed Single-Pixel Camera Codification," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CTu2F.5.

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Abstract

In a CSI classification task, it is necessary to a reconstruction process in most cases. In contrast, an approach for classification tasks of SPC avoiding the reconstruction process is presented with an accuracy of 97.72%.

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