ℓ<sub>0</sub> NHT V : A Non-convex Hybrid Total Variation Regularization Method for Image Restoration-Reference-Cited by-同舟云学术

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ℓ₀ NHT V : A Non-convex Hybrid Total Variation Regularization Method for Image Restoration

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
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Author:

Li Dequan¹,Wu Peng²

Affiliation:

1. Anhui University of Science and Technology,School of Artificial Intelligence,Huainan,China,232000

2. Anhui University of Science and Technology,School of Mathematics and Big Data,Huainan,China,232000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10034006.pdf?arnumber=10034006

Reference26 articles.

1. Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional

2. Image Restoration by a Mixed High-Order Total Variation and l1 Regularization Model

3. Fourth-order partial differential equations for noise removal

4. Restoration of remote sensing images based on nonconvex constrained high-order total variation regularization

5. High-order TVL1-based images restoration and spatially adapted regularization parameter selection

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1. Yunnan Tibetan Buddhist Mural Restoration Based on Entropy Reduction Strategy and Boundary Structure Factor;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

2. Research on Denoising Algorithm of Composite Thermal Wave Detection Image Based on Improved Total Variation;Nano;2023-05-04

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