Towards High-Throughput Coded Aperture Compressive Spectral Imaging

Hoover Rueda-Chacon; R. Molina V. Daniel; Henry Arguello

doi:10.1364/3D.2020.JW2A.33

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper JW2A.33
•https://doi.org/10.1364/3D.2020.JW2A.33

Towards High-Throughput Coded Aperture Compressive Spectral Imaging

Hoover Rueda-Chacon, R. Molina V. Daniel, and Henry Arguello

Imaging Systems and Applications 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

From the session
Joint Poster Session II (JW2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
H. Rueda-Chacon, R. M. V. Daniel, and H. Arguello, "Towards High-Throughput Coded Aperture Compressive Spectral Imaging," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper JW2A.33.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We report on the design of a new strategy to optimize coded apertures for compressive spectral imaging so that high-throughput sensing is attained, and thus, high signal to noise ratio in the compressed measurements.

PDF Article

More Like This

Optimal Colored Coded Apertures for Compressive Spectral Imaging Systems

Hoover Rueda, Henry Arguello, and Gonzalo R. Arce
JTu5A.25 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2017

Spectral Aperture Code Design for Multi-shot Compressive Spectral Imaging

P. Ye, H. Arguello, and G. R. Arce
DWA6 Digital Holography and Three-Dimensional Imaging (DH) 2010

Snapshot Compressive Spectral+Depth Imaging with Color-Coded Apertures

Hoover Rueda, Daniel L. Lau, and Gonzalo R. Arce
CTu5D.6 Computational Optical Sensing and Imaging (COSI) 2018

Previous Article Next Article

Poster Presentation

Media 1: PDF (1802 KB)