Efficient multiplicative noise removal method using isotropic second order total variation

DOI10.1016/j.camwa.2015.08.014zbMath1443.94022OpenAlexW1665710069MaRDI QIDQ2006490

Liang Xiao, Peng-Fei Liu

Publication date: 11 October 2020

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2015.08.014

zbMATH Keywords

total variationmultiplicative noise removalalternating iterative algorithmisotropic second-order total variation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise

Cites Work

• Unnamed Item
• Unnamed Item
• Iterative image restoration combining total variation minimization and a second-order functional
• Fourth-order partial differential equations for noise removal
• A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
• A New Total Variation Method for Multiplicative Noise Removal
• A Variational Approach to Removing Multiplicative Noise
• Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
• A unified treatment of some iterative algorithms in signal processing and image reconstruction
• High-Order Total Variation-Based Image Restoration
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
• Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications
• Higher Degree Total Variation (HDTV) Regularization for Image Recovery
• Signal Recovery by Proximal Forward-Backward Splitting
• Convex Analysis