Natural image restoration based on multi-scale group sparsity residual constraints
The Group Sparse Representation (GSR) model shows excellent potential in various image restoration tasks. In this study, we propose a novel Multi-Scale Group Sparse Residual Constraint Model (MS-GSRC) which can be applied to various inverse problems, including denoising, inpainting, and compressed s...
Main Authors: | Wan Ning, Dong Sun, Qingwei Gao, Yixiang Lu, De Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-11-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1293161/full |
Similar Items
-
Image Restoration with Fractional-Order Total Variation Regularization and Group Sparsity
by: Jameel Ahmed Bhutto, et al.
Published: (2023-07-01) -
MEGS: A Penalty for Mutually Exclusive Group Sparsity
by: Charles Saunders, et al.
Published: (2023-01-01) -
Estimating Functional Brain Networks by Low-Rank Representation With Local Constraint
by: Zhigang Li, et al.
Published: (2024-01-01) -
Backpropagation With Sparsity Regularization for Spiking Neural Network Learning
by: Yulong Yan, et al.
Published: (2022-04-01) -
Graph-Based Clustering via Group Sparsity and Manifold Regularization
by: Jianyu Miao, et al.
Published: (2019-01-01)