A Fast Linearised Augmented Lagrangian Method for a Mean Curvature Based Model

DOI10.4208/eajam.010817.160218zbMath1468.94029OpenAlexW2810604321MaRDI QIDQ4985219

Shengqian Wang, Chengzhi Deng, Jun Zhang, Yong-gui Zhu, Yu-Ying Shi

Publication date: 22 April 2021

Published in: East Asian Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4208/eajam.010817.160218

zbMATH Keywords

mean curvatureimage denoisingclosed form solutionshrinkage operatorlinearised augmented Lagrangian method

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Two new preconditioners for mean curvature-based image deblurring problem ⋮ An effective algorithm for mean curvature-based image deblurring problem ⋮ Adaptive image restoration via a relaxed regularization of mean curvature

Cites Work

• Multiplicative denoising based on linearized alternating direction method using discrepancy function constraint
• Image denoising using the Gaussian curvature of the image surface
• A Fast Augmented Lagrangian Method for Euler's Elastica Models
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Image Processing and Analysis
• Total Generalized Variation