DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation-Reference-Cited by-同舟云学术

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DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

Published:2021-01 Issue:4 Volume:14 Page:1816-1847
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Batard Thomas^ORCID,Haro Gloria,Ballester Coloma

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/20M1378697

Reference25 articles.

1. A Cortical-Inspired Geometry for Contour Perception and Motion Integration

2. On Covariant Derivatives and Their Applications to Image Regularization

3. A Geometric Model of Brightness Perception and Its Application to Color Images Correction

4. Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience

5. Denoising an Image by Denoising Its Curvature Image

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1. A non-convex low-rank image decomposition model via unsupervised network;Signal Processing;2024-10

2. A new image decomposition model based on DIP and RED;Signal, Image and Video Processing;2024-08-12

3. Untrained neural network embedded Fourier phase retrieval from few measurements;Signal Processing;2024-06

4. Nonlinear L$$^2$$-DiracVTV Model for Color Image Restoration;Advances in Computational Intelligence;2023-11-09

5. Nonlinear DIP-DiracVTV Model for Color Image Restoration;Advances in Computational Intelligence;2023-11-09

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