Publications associées à An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

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Non-local Functionals Related to the Total Variation and Connections with Image Processing

Hoài-Minh Nguyên

We present new results concerning the approximation of the total variation,

\int_{\Omega} |\nabla u|

, of a function

u

by non-local, non-convex functionals of the form $$ \Lambda_\delta u = \int_{\Omega} \int_{\Omega} \frac{\delta \varphi \big( |u(x) - ...

2018

An Algorithmic Framework for Mumford-Shah Regularization of Inverse Problems in Imaging

Graph Chatbot

Chattez avec Graph Search

Imaging from Echoes: On Inverse Problems in Ultrasound

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

Implementation d'un algorithme de reduction de taille des reseaux de neurones

Non-local Functionals Related to the Total Variation and Connections with Image Processing

Learning Tomography Assessed Using Mie Theory

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Mumford-Shah and Potts Regularization for Manifold-Valued Data

Implementation d'un algorithme de reduction de taille des reseaux de neurones

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Imaging from Echoes: On Inverse Problems in Ultrasound

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

Non-local Functionals Related to the Total Variation and Connections with Image Processing

Mumford-Shah and Potts Regularization for Manifold-Valued Data

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

Learning Tomography Assessed Using Mie Theory