%0 Journal Article
%T A quantitative and qualitative performance analysis of compressive spectral imagers
%J -
%D 2017
%R https://doi.org/10.14483/udistrital.jour.tecnura.2017.2.a04
%X Resumen (en_US) Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data cube, which often comprises a significant amount of data. However, traditional (SI) systems acquire data ignoring the high correlation between the measurements and the samples are redundant. Compressive spectral imaging systems compress spectral data in the acquisition step, so it allows reducing redundancy and the data amount. Recently, several spectral imaging systems have become available, providing new functionality for users and opening up the field to a wide array of new applications. For instance, the CASSI, SCSI, SSCS, and HYCA systems are four of the most outstanding systems. Methods: Some review works have provided comprehensive surveys of the available technologies and have shown how the new capabilities of spectral imaging approaches can be utilized. However, selecting a specific architecture requires a quantitative and qualitative comparison of these systems in the same scenarios. Results: This paper analyzes the qualitative and quantitative performance of these four compressive spectral imaging systems to evaluate them in the same scenarios. For that, the architectures are modeled as a system of linear equations; then, image reconstructions are accomplished through the same optimization approach, transmittance, coded aperture, and shot numbers. Conclusion: Results show that the performance of the SSCSI system attains better quality reconstruction in terms of PSNR. Resumen (es_ES) Contexto: Las im芍genes espectrales (SI) contienen informaci車n espacio-espectral acerca de una escena disponible en un cubo de datos que usualmente comprende una cantidad significativa de 谷stos. Los sistemas tradicionales de (SI) adquieren datos redundantes ignorando la alta correlaci車n entre las mediciones y las muestras redundantes. Los sistemas de compresi車n de im芍genes espectrales comprimen los datos espectrales en la etapa de adquisici車n, lo que permite reducir la cantidad de datos y la redundancia. Actualmente, existen varios sistemas de im芍genes espectrales disponibles que proporcionan nuevas funciones para los usuarios y abren un amplio campo de nuevas aplicaciones. Por ejemplo, los sistemas de CASSI, SCSI, SSCS, y HYCA son cuatro de los m芍s destacados. M谷todo: La revisi車n de algunos trabajos provee amplios estudios de tecnolog赤as disponibles y muestra c車mo se pueden utilizar las nuevas capacidades de los enfoques de formaci車n de im芍genes espectrales. Sin embargo, para la selecci車n de una arquitectura espec赤fica se requiere una comparaci車n
%K Sampling matrix
%K compressive sampling architectures
%K spectral image Matriz de muestreo
%K arquitecturas de muestreo compresivo
%K im芍genes espectrales
%U https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/10943