Title :
Coded aperture compressive spectral imaging
Author :
Arguello Fuentes, Henry ; Arce, Gonzalo R.
Author_Institution :
Dept. of Syst. Eng., Univ. Ind. de Santander, Bucaramanga, Colombia
Abstract :
This article overviews the fundamental optical phenomena behind compressive spectral imaging, presents the key mathematical concepts embodying the sensing and reconstruction mechanisms, and describes the optimization framework used to design optimal coded apertures in a number of applications including hyperspectral image reconstruction, spectral selectivity, and super-resolution.
Keywords :
image reconstruction; image resolution; optimisation; coded aperture compressive spectral imaging; hyperspectral image reconstruction; image super-resolution; optical phenomena; optimal coded apertures; optimization framework; spectral selectivity; Apertures; Image coding; Image reconstruction; Image resolution; Imaging; Sensors; Signal resolution; CASSI; Coded Aperture Optimization; Coded aperture; Compressive Sensing; Hyperspectral Imaging;
Conference_Titel :
Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium of
Conference_Location :
Bogota
Print_ISBN :
978-1-4799-1120-2
DOI :
10.1109/STSIVA.2013.6644909
