Sampling for Snapshot Compressive Imaging-Reference-Cited by-同舟云学术

Sampling for Snapshot Compressive Imaging

Published:2023-01 Issue: Volume:2 Page:
ISSN:2771-5892
Container-title:Intelligent Computing
language:en
Short-container-title:Intell Comput

Author:

Hu Minghao¹^ORCID,Wu Zongliang²^ORCID,Huang Qian¹^ORCID,Yuan Xin²^ORCID,Brady David¹^ORCID

Affiliation:

1. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, USA.

2. School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.

Abstract

In this study, we compare interlaced and multiscale sampling of smooth manifolds for snapshot compressive imaging. With a particular focus on spectral, spatial, and temporal focal photographic imaging systems, we show that structured transformer networks enable the efficient integration of multiscale manifolds. In the applications considered here, transformer networks enable simpler and more target-specific sampling strategies for compressive tomography.

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://spj.science.org/doi/pdf/10.34133/icomputing.0038

Reference71 articles.

1. Compressive tomography

2. Reference structure tomography;Brady DJ;J Opt Soc Am A Opt Image Sci Vis,2004

3. Snapshot compressive imaging: Theory, algorithms, and applications;Yuan X;IEEE Signal Process Mag,2021

4. Single-shot compressive spectral imaging with a dual-disperser architecture;Gehm ME;Opt Express,2007

5. Single disperser design for coded aperture snapshot spectral imaging;Wagadarikar A;Appl Opt,2008

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