High-Quality Multispectral Image Reconstruction for the Spectral Camera Based on Ghost Imaging via Sparsity Constraints Using CoT-Unet-Reference-Cited by-同舟云学术

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High-Quality Multispectral Image Reconstruction for the Spectral Camera Based on Ghost Imaging via Sparsity Constraints Using CoT-Unet

Published:2023-06 Issue:3 Volume:15 Page:1-10
ISSN:1943-0655
Container-title:IEEE Photonics Journal
language:
Short-container-title:IEEE Photonics J.

Author:

Hu Tao¹^ORCID,Chen Jianxia¹^ORCID,Wang Shu¹,Wu Jianrong²^ORCID,Chen Ziyan²^ORCID,Tian Zhifu¹,Ma Ruipeng³,Wu Di¹

Affiliation:

1. School of Institute of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China

2. Key Laboratory for Quantum Optics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China

3. School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Funder

National Science Foundation

Young Scientists of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/4563994/10101698/10132552.pdf?arnumber=10132552

Reference27 articles.

1. Spectral Camera based on Ghost Imaging via Sparsity Constraints

2. X-ray-scattering information obtained from near-field speckle

3. Compressed sensing

4. Spectral polarization camera based on ghost imaging via sparsity constraints

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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