Image Reconstruction of Conductivity Distribution With Combined <i>L</i> <sub>1</sub>-Norm Fidelity and Hybrid Total Variation Penalty-Reference-Cited by-同舟云学术

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Image Reconstruction of Conductivity Distribution With Combined L ₁-Norm Fidelity and Hybrid Total Variation Penalty

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Shi Yanyan^ORCID,Wu Yuehui^ORCID,Wang Meng^ORCID,Rao Zuguang,Yang Bin,Fu Feng,Lou Yajun^ORCID

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

Foundation for University Key Young Teacher by Henan Province of China

Scientific Research Project for Postgraduates of Henan Normal University of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09690489.pdf?arnumber=9690489

Reference50 articles.

1. A MATLAB package for the EIDORS project to reconstruct two-dimensional EIT images

2. Experimental evaluation of 3D electrical impedance tomography with total variation prior

3. FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging

4. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

5. A primal–dual interior-point framework for using the L1 or L2 norm on the data and regularization terms of inverse problems

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