Compressive depth spectral image estimation from aberrations and colored-mosaic detector

Miguel Marquez; Esteban Vera; Henry Arguello; Pablo Meza

Compressive depth spectral image estimation from aberrations and colored-mosaic detector

Miguel Marquez, Esteban Vera, Henry Arguello, Pablo Meza

SCHOOL OF ELECTRICAL ENGINEERING

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present an imaging device that captures compressive spectral and depth images, efficiently reconstructing the data from only two compressive measurements by using an efficient mathematical model.

Original language	English
Article number	JW2A.32
Journal	Optics InfoBase Conference Papers
State	Published - 2020
Event	Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States Duration: 22 Jun 2020 → 26 Jun 2020

Cite this

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title = "Compressive depth spectral image estimation from aberrations and colored-mosaic detector",

abstract = "We present an imaging device that captures compressive spectral and depth images, efficiently reconstructing the data from only two compressive measurements by using an efficient mathematical model.",

author = "Miguel Marquez and Esteban Vera and Henry Arguello and Pablo Meza",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s); Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 ; Conference date: 22-06-2020 Through 26-06-2020",

year = "2020",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Compressive depth spectral image estimation from aberrations and colored-mosaic detector

AU - Marquez, Miguel

AU - Vera, Esteban

AU - Arguello, Henry

AU - Meza, Pablo

PY - 2020

Y1 - 2020

N2 - We present an imaging device that captures compressive spectral and depth images, efficiently reconstructing the data from only two compressive measurements by using an efficient mathematical model.

AB - We present an imaging device that captures compressive spectral and depth images, efficiently reconstructing the data from only two compressive measurements by using an efficient mathematical model.

UR - http://www.scopus.com/inward/record.url?scp=85118615235&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85118615235

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW2A.32

T2 - Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020

Y2 - 22 June 2020 through 26 June 2020

ER -

Compressive depth spectral image estimation from aberrations and colored-mosaic detector

Abstract

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