Sparse Regularization Based on Reverse Ordered Weighted L<sub>1</sub>-Norm and Its Application to Edge-Preserving Smoothing-Reference-Cited by-同舟云学术

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Sparse Regularization Based on Reverse Ordered Weighted L₁-Norm and Its Application to Edge-Preserving Smoothing

Published:2024-04-14 Issue: Volume:225 Page:9531-9535
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Sasaki Takayuki¹,Bandoh Yukihiro¹,Kitahara Masaki¹

Affiliation:

1. NTT Corporation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448119.pdf?arnumber=10448119

Reference30 articles.

1. The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

2. An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values

3. Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior

4. Neumann Networks for Linear Inverse Problems in Imaging

5. Model Adaptation for Inverse Problems in Imaging

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