Compressive spectral video by optimal 4D-sphere packing
Date:
Recommended citation: N. Díaz, A. Alvarado, P. Meza, and E. Vera. “Compressive spectral video by optimal 4D-sphere packing,” in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), paper CM1E.4. [Paper], [Link], [Presentation].
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.
Cite
@inproceedings{Diaz:23,
author = {Nelson D\'{i}az and Alejandro Alvarado and Pablo Meza and Esteban Vera},
booktitle = {Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)},
journal = {Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)},
keywords = {Apertures; Deep learning; Image reconstruction; Inverse design; Spatial resolution; Video},
pages = {CM1E.4},
publisher = {Optica Publishing Group},
title = {Compressive spectral video by optimal 4D-sphere packing},
year = {2023},
url = {https://opg.optica.org/abstract.cfm?URI=COSI-2023-CM1E.4},
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.},
}