A phase model using the Huber norm for estimating point spread function under frozen flow hypothesis

DOI10.1016/j.cam.2021.113657zbMath1469.90109OpenAlexW3160137370MaRDI QIDQ2033091

Wenxing Zhang

Publication date: 14 June 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113657

zbMATH Keywords

point spread functionphase modelastronomical imagingprimal-dual hybrid gradient algorithmHuber normspatially-varying blur

Mathematics Subject Classification ID

Convex programming (90C25) Numerical optimization and variational techniques (65K10) Parallel algorithms in computer science (68W10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Unnamed Item
• Smooth minimization of non-smooth functions
• A phase model for point spread function estimation in ground-based astronomy
• Variational methods in imaging
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Wavelet deblurring algorithms for spatially varying blur from high-resolution image reconstruction
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Dual norms and image decomposition models
• Sparse Wavelet Representations of Spatially Varying Blurring Operators
• Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization
• Iterative Wavefront Reconstruction for Astronomical Imaging
• Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
• Deblurring Images
• Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing
• Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes
• Ten Lectures on Wavelets
• The Linear l₁ Estimator and the Huber M-Estimator
• Restoring Images Degraded by Spatially Variant Blur
• A First-Order Primal-Dual Algorithm with Linesearch
• De-noising by soft-thresholding
• Fast Image Recovery Using Variable Splitting and Constrained Optimization
• Parameter selection for total-variation-based image restoration using discrepancy principle
• Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels
• Numerical methods for coupled super-resolution
• Sparse Image and Signal Processing

This page was built for publication: A phase model using the Huber norm for estimating point spread function under frozen flow hypothesis