Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising-Reference-Cited by-同舟云学术

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Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising

Published:2024-02-23 Issue:1 Volume:17 Page:441-475
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Meng Junying¹^ORCID,Wang Faqiang¹,Liu Jun¹²^ORCID

Affiliation:

1. Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China.

2. Corresponding author. Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference26 articles.

1. RENOIR – A dataset for real low-light image noise reduction

2. Contour Detection and Hierarchical Image Segmentation

3. Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

4. Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising

5. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

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1. A semantic segmentation model for road cracks combining channel-space convolution and frequency feature aggregation;Scientific Reports;2024-07-11

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