Constrained Regularization by Denoising With Automatic Parameter Selection-Reference-Cited by-同舟云学术

Constrained Regularization by Denoising With Automatic Parameter Selection

Published:2024 Issue: Volume:31 Page:556-560
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Cascarano Pasquale¹^ORCID,Benfenati Alessandro²^ORCID,Kamilov Ulugbek S.³^ORCID,Xu Xiaojian⁴^ORCID

Affiliation:

1. Department of the Arts, University of Bologna, Bologna, Italy

2. Department of Environmental Science and Policy, University of Milan, Milan, Italy

3. Department of Computer Science and Engineering and Department of Electrical and System Engineering, Washington University in St. Louis, St. Louis, MO, USA

4. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

Funder

NSF CAREER

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/97/10380231/10415495-aam.pdf

Reference26 articles.

1. Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method

2. DeepCEL0 for 2D single-molecule localization in fluorescence microscopy

3. A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising

4. Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation

5. Image regularization for Poisson data

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