An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal

The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been proposed in recent years. In contrast to these existing models, in this paper, we propose a nonconvex model with a DC functio...

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Veröffentlicht in:	Numerical algorithms Jg. 97; H. 3; S. 1119 - 1139
Hauptverfasser:	Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2024 Springer Nature B.V
Schlagworte:	Algebra Algorithms Computer Science Data analysis Image contrast Image degradation Image quality Noise Numeric Computing Numerical Analysis Optimization Original Paper Regularization methods Remote sensing Theory of Computation 90C20 Group sparsity Alternating direction method of multipliers 65K05 90C25 90C06 49M27 Remote sensing Proximal majorization-minimization algorithm
ISSN:	1017-1398, 1572-9265
Online-Zugang:	Volltext
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