Variational image restoration and segmentation with Rician noise

DOI10.1007/s10915-018-0826-3zbMath1461.90094OpenAlexW2892010192WikidataQ129248959 ScholiaQ129248959MaRDI QIDQ1999865

Yutian Li, Liyuan Chen, Tieyong Zeng

Publication date: 27 June 2019

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-018-0826-3

zbMATH Keywords

total variationimage segmentationimage restorationlinearized primal-dual algorithmRician noise

Mathematics Subject Classification ID

Convex programming (90C25) Applications of mathematical programming (90C90)

Related Items (3)

Flexible parameter selection methods for Rician noise removal with convergence guarantee ⋮ Patch-based weighted SCAD prior for Rician noise removal ⋮ Variational Rician Noise Removal via Splitting on Spheres

Uses Software

• DLMF
• BSDS
• k-means++

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms
• Implementation of an optimal first-order method for strongly convex total variation regularization
• Frame based segmentation for medical images
• Duality-based algorithms for total-variation-regularized image restoration
• Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
• Multiphase image segmentation and modulation recovery based on shape and topological sensitivity
• An algorithm for total variation minimization and applications
• A first-order primal-dual algorithm for convex problems with applications to imaging
• A convex variational model for restoring blurred images with large Rician noise
• Efficient graph-based image segmentation
• A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford--Shah Model and Thresholding
• A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise
• Optimal approximations by piecewise smooth functions and associated variational problems
• Probability, Random Processes, and Statistical Analysis
• The Split Bregman Method for L1-Regularized Problems
• Simultaneous Higher-Order Optical Flow Estimation and Decomposition
• A Multiphase Image Segmentation Method Based on Fuzzy Region Competition
• A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
• Active contours without edges
• Computing Optical Flow via Variational Techniques
• Restoration of Poissonian Images Using Alternating Direction Optimization
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Variational image restoration and segmentation with Rician noise