Robust PCA with Lw,∗ and L2,1 norms : a novel method for low-quality retinal image enhancement
Loading...
Date
Authors
Likassa, Habte Tadesse
Chen, Ding-Geng (Din)
Chen, Kewei
Wang, Yalin
Zhu, Wenhui
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Please read abstract in the article.
Description
Keywords
Image enhancement, Robust principal component analysis (RPCA), Weighted nuclear norm (Lw,∗), L2,1 norm, Affine transformations τi, Alternating direction method of multipliers (ADMM), Retinal image alignment, SDG-03: Good health and well-being, SDG-09: Industry, innovation and infrastructure
Sustainable Development Goals
SDG-03:Good heatlh and well-being
SDG-09: Industry, innovation and infrastructure
SDG-09: Industry, innovation and infrastructure
Citation
Likassa, H.T.; Chen, D.-G.;
Chen, K.;Wang, Y.; Zhu,W. Robust
PCA with Lw,∗ and L2,1 Norms:
A Novel Method for Low-Quality
Retinal Image Enhancement. Journal of Imaging 2024, 10, 151. https://DOI.org/10.3390/jimaging10070151.