A Photoacoustic Imaging Algorithm Based on Regularized Smoothed L0 Norm Minimization
The recently emerging technique of sparse reconstruction has received much attention in the field of photoacoustic imaging (PAI). Compressed sensing (CS) has large potential in efficiently reconstructing high-quality PAI images with sparse sampling signal. In this article, we propose a CS-based erro...
Main Authors: | Xueyan Liu, Limei Zhang, Yining Zhang, Lishan Qiao |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2021-01-01
|
Series: | Molecular Imaging |
Online Access: | http://dx.doi.org/10.1155/2021/6689194 |
Similar Items
-
A Smoothed l0-Norm and l1-Norm Regularization Algorithm for Computed Tomography
by: Jiehua Zhu, et al.
Published: (2019-01-01) -
ISRSL0: compressed sensing MRI with image smoothness regularized-smoothed $$\:{\ell}_{0}$$ norm
by: Elaheh Hassan, et al.
Published: (2024-10-01) -
Smoothing Approximations for Least Squares Minimization with L1-Norm Regularization Functional
by: Henrietta Nkansah, et al.
Published: (2021-02-01) -
An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection
by: Xiezhang Li, et al.
Published: (2020-01-01) -
Joint inversion of gravity and gravity gradient data using smoothed L0 norm regularization algorithm with sensitivity matrix compression
by: Tingting Niu, et al.
Published: (2023-11-01)