An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios

Felipe Guzmán; Bastian Romero; David J. Brady; Esteban Vera

doi:10.1364/COSI.2023.CM1E.5

An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios

Felipe Guzmán, Bastian Romero, David J. Brady, Esteban Vera

Optical Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

We propose a simple yet powerful mask design for high-speed, high-pixel count compressive temporal imaging. Simulation and experimental results demonstrate a reconstruction quality of over 30dB when recovering 512 frames of 2K videos from a single snapshot.

Original language	English (US)
DOIs	https://doi.org/10.1364/COSI.2023.CM1E.5
State	Published - 2023
Event	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 - Boston, United States Duration: Aug 14 2023 → Aug 17 2023

Conference

Conference	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023
Country/Territory	United States
City	Boston
Period	8/14/23 → 8/17/23

ASJC Scopus subject areas

General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1364/COSI.2023.CM1E.5

Cite this

Guzmán, F., Romero, B., Brady, D. J., & Vera, E. (2023). An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios. Paper presented at 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023, Boston, United States. https://doi.org/10.1364/COSI.2023.CM1E.5

An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios. / Guzmán, Felipe; Romero, Bastian; Brady, David J. et al.
2023. Paper presented at 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023, Boston, United States.

Research output: Contribution to conference › Paper › peer-review

Guzmán, F, Romero, B, Brady, DJ & Vera, E 2023, 'An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios', Paper presented at 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023, Boston, United States, 8/14/23 - 8/17/23. https://doi.org/10.1364/COSI.2023.CM1E.5

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title = "An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios",

abstract = "We propose a simple yet powerful mask design for high-speed, high-pixel count compressive temporal imaging. Simulation and experimental results demonstrate a reconstruction quality of over 30dB when recovering 512 frames of 2K videos from a single snapshot.",

author = "Felipe Guzm{\'a}n and Bastian Romero and Brady, {David J.} and Esteban Vera",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s).; 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 ; Conference date: 14-08-2023 Through 17-08-2023",

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AU - Guzmán, Felipe

AU - Romero, Bastian

AU - Brady, David J.

AU - Vera, Esteban

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Y1 - 2023

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Y2 - 14 August 2023 through 17 August 2023

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An scalable coding strategy for high resolution snapshot compressive temporal imaging at high compression ratios

Abstract

Conference

ASJC Scopus subject areas

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