all AI news
D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion. (arXiv:2205.12158v1 [eess.IV])
May 25, 2022, 1:10 a.m. | Roman Jacome, Jorge Bacca, Henry Arguello
cs.LG updates on arXiv.org arxiv.org
Compressive spectral imaging (CSI) has attracted significant attention since
it employs synthetic apertures to codify spatial and spectral information,
sensing only 2D projections of the 3D spectral image. However, these optical
architectures suffer from a trade-off between the spatial and spectral
resolution of the reconstructed image due to technology limitations. To
overcome this issue, compressive spectral image fusion (CSIF) employs the
projected measurements of two CSI architectures with different resolutions to
estimate a high-spatial high-spectral resolution. This work presents the …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Intelligence Analyst
@ Rappi | COL-Bogotá
Applied Scientist II
@ Microsoft | Redmond, Washington, United States