Compressive Spectral-Video by Optimal 3D-Sphere Packing

Nelson Diaz; Esteban Vera

doi:10.1109/RAPID54473.2023.10264713

Compressive Spectral-Video by Optimal 3D-Sphere Packing

Nelson Diaz, Esteban Vera

SCHOOL OF ELECTRICAL ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces a new method to capture compressive spectral video (SV) imaging by exploiting 3-dimensional sphere packing (SP) to design 4D-coded apertures. The proposed approach reconstructs the 4D-hypercube from a single snapshot. Simulations using SV demonstrate the performance of SP approach.

Original language	English
Title of host publication	2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665423526
DOIs	https://doi.org/10.1109/RAPID54473.2023.10264713
State	Published - 2023
Event	6th Annual IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Miramar Beach, United States Duration: 11 Sep 2023 → 13 Sep 2023

Publication series

Name	2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings

Conference

Conference	6th Annual IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023
Country/Territory	United States
City	Miramar Beach
Period	11/09/23 → 13/09/23

Keywords

3D-sphere packing
coded aperture design
spectral-video

Access to Document

10.1109/RAPID54473.2023.10264713

Cite this

Diaz, N., & Vera, E. (2023). Compressive Spectral-Video by Optimal 3D-Sphere Packing. In 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings (2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAPID54473.2023.10264713

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title = "Compressive Spectral-Video by Optimal 3D-Sphere Packing",

abstract = "This paper introduces a new method to capture compressive spectral video (SV) imaging by exploiting 3-dimensional sphere packing (SP) to design 4D-coded apertures. The proposed approach reconstructs the 4D-hypercube from a single snapshot. Simulations using SV demonstrate the performance of SP approach.",

keywords = "3D-sphere packing, coded aperture design, spectral-video",

author = "Nelson Diaz and Esteban Vera",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th Annual IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 ; Conference date: 11-09-2023 Through 13-09-2023",

year = "2023",

doi = "10.1109/RAPID54473.2023.10264713",

language = "English",

series = "2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings",

}

Diaz, N & Vera, E 2023, Compressive Spectral-Video by Optimal 3D-Sphere Packing. in 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings. 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 6th Annual IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023, Miramar Beach, United States, 11/09/23. https://doi.org/10.1109/RAPID54473.2023.10264713

Compressive Spectral-Video by Optimal 3D-Sphere Packing. / Diaz, Nelson; Vera, Esteban.
2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Diaz, Nelson

AU - Vera, Esteban

PY - 2023

Y1 - 2023

N2 - This paper introduces a new method to capture compressive spectral video (SV) imaging by exploiting 3-dimensional sphere packing (SP) to design 4D-coded apertures. The proposed approach reconstructs the 4D-hypercube from a single snapshot. Simulations using SV demonstrate the performance of SP approach.

AB - This paper introduces a new method to capture compressive spectral video (SV) imaging by exploiting 3-dimensional sphere packing (SP) to design 4D-coded apertures. The proposed approach reconstructs the 4D-hypercube from a single snapshot. Simulations using SV demonstrate the performance of SP approach.

KW - 3D-sphere packing

KW - coded aperture design

KW - spectral-video

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DO - 10.1109/RAPID54473.2023.10264713

M3 - Conference contribution

AN - SCOPUS:85175046056

T3 - 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings

BT - 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th Annual IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023

Y2 - 11 September 2023 through 13 September 2023

ER -

Diaz N, Vera E. Compressive Spectral-Video by Optimal 3D-Sphere Packing. In 2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2023 - Proceedings). doi: 10.1109/RAPID54473.2023.10264713

Compressive Spectral-Video by Optimal 3D-Sphere Packing

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Publication series

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Keywords

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