Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Code Aperture Agile Spectral Imaging (CAASI)

Not Accessible

Your library or personal account may give you access

Abstract

Compressive sensing enables the efficient acquisition of hyperspectral images cubes. The Code Aperture Spectral Imaging (CASSI) system is one such architecture based on a single snap shot. This paper shows the mathematical framework for a new architecture, the Code Aperture Agile Spectral Imaging (CAASI), which extends the capabilities of the CASSI to allow multiple measurements. An optimization algorithm based on a new mathematical framework finds optimal code apertures. Given a set of desired spectral bands, the CAASI has the capability to generate a set of measurements with only the information of interest. Several simulations are shown to illustrated the advantage and capabilities of the optimized code apertures.

© 2011 Optical Society of America

PDF Article
More Like This
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

Coded-Aperture Compressive Spectral Image Classification

Ana Ramirez, Gonzalo R. Arce, and Brian M. Sadler
CM4B.6 Computational Optical Sensing and Imaging (COSI) 2012

Spectrally Selective Compressive Imaging by Matrix System Analysis

Henry Arguello and Gonzalo R. Arce
CM4B.5 Computational Optical Sensing and Imaging (COSI) 2012

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved