Compressive spectral video by optimal 4D-sphere packing

Vera, Esteban

Abstract

This work presents a mathematical framework to design 4D-coded aperture (CA)s for compressive snapshot spectral video (SV) exploiting 4D-sphere packing (SP). Simulation results using state-of-the-art datasets and metrics show a promising performance of the proposed approach to capture high-dimensional datacubes with limited sensing resources.

Más información

Título según SCOPUS: Compressive spectral video by optimal 4D-sphere packing
Título de la Revista: Computational Optical Sensing and Imaging in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP - Part of Imaging and Applied Optics Congress 2023
Editorial: Optical Society of America
Fecha de publicación: 2023
Idioma: English
DOI:

10.1364/COSI.2023.CM1E.4

Notas: SCOPUS - SCOPUS