Compressive spectral imaging using smoothness on graphs

Juan F. Florez-Ospina; Daniel L. Lau; Kenneth Barner; Gonzalo R. Arce

Compressive spectral imaging using smoothness on graphs

Juan F. Florez-Ospina, Daniel L. Lau, Kenneth Barner, Gonzalo R. Arce

Producción científica: Conference article › revisión exhaustiva

Resumen

Compressive spectral imaging reconstruction is performed using smoothness on graphs. In doing so, a highly effective and paralilizable graph-smoothness prior reconstruction algorithm is developed based on simple direct matrix inversion.

Idioma original	English
Número de artículo	CTh2F.1
Publicación	Optics InfoBase Conference Papers
Estado	Published - 2021
Evento	Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021 - Virtual, Online, United States Duración: jul 19 2021 → jul 23 2021

Nota bibliográfica

Publisher Copyright:
© OSA 2021, © 2021 The Author(s)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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title = "Compressive spectral imaging using smoothness on graphs",

abstract = "Compressive spectral imaging reconstruction is performed using smoothness on graphs. In doing so, a highly effective and paralilizable graph-smoothness prior reconstruction algorithm is developed based on simple direct matrix inversion.",

author = "Florez-Ospina, \{Juan F.\} and Lau, \{Daniel L.\} and Kenneth Barner and Arce, \{Gonzalo R.\}",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

language = "English",

}

TY - JOUR

T1 - Compressive spectral imaging using smoothness on graphs

AU - Florez-Ospina, Juan F.

AU - Lau, Daniel L.

AU - Barner, Kenneth

AU - Arce, Gonzalo R.

PY - 2021

Y1 - 2021

N2 - Compressive spectral imaging reconstruction is performed using smoothness on graphs. In doing so, a highly effective and paralilizable graph-smoothness prior reconstruction algorithm is developed based on simple direct matrix inversion.

AB - Compressive spectral imaging reconstruction is performed using smoothness on graphs. In doing so, a highly effective and paralilizable graph-smoothness prior reconstruction algorithm is developed based on simple direct matrix inversion.

UR - https://www.scopus.com/pages/publications/85119515023

UR - https://www.scopus.com/inward/citedby.url?scp=85119515023&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85119515023

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - CTh2F.1

T2 - Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Compressive spectral imaging using smoothness on graphs

Resumen

Nota bibliográfica

ASJC Scopus subject areas

Otros archivos y enlaces

Huella

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