Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM-Reference-Cited by-同舟云学术

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Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 21st International Conference on Computational Science and Its Applications (ICCSA)
language:
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Author:

Cascarano Pasquale¹,Sebastiani Andrea¹,Comes Maria Colomba²,Franchini Giorgia³,Porta Federica⁴

Affiliation:

1. University of Bologna,Department of Mathematics

2. University of Rome Tor Vergata,Department of Electronic Engineering

3. University of Ferrara,Department of Mathematics and Computer Science

4. University of Modena and Reggio Emilia,Department of Physics, Informatics and Mathematics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9732336/9732311/09732379.pdf?arnumber=9732379

Reference25 articles.

1. Preparing Medical Imaging Data for Machine Learning

2. Deep Image Prior;ulyanov;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

3. Solving inverse problems using data-driven models

4. Regularization by Architecture: A Deep Prior Approach for Inverse Problems

5. A Bayesian Perspective on the Deep Image Prior

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