Nonlinear total variation based noise removal algorithms
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Multi-camera Scene Reconstruction via Graph Cuts
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Segmentation by Grouping Junctions
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A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
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An Algorithm for Total Variation Minimization and Applications
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An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
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A Surface Reconstruction Method Using Global Graph Cut Optimization
International Journal of Computer Vision
Exact optimization of discrete constrained total variation minimization problems
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
A fast and exact algorithm for total variation minimization
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Exact optimization for Markov random fields with convex priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization
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A comparison of three total variation based texture extraction models
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Algorithmic Differentiation: Application to Variational Problems in Computer Vision
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An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
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An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Convex Hodge Decomposition and Regularization of Image Flows
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Continuous Global Optimization in Multiview 3D Reconstruction
International Journal of Computer Vision
Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing
International Journal of Computer Vision
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows
International Journal of Computer Vision
Some First-Order Algorithms for Total Variation Based Image Restoration
Journal of Mathematical Imaging and Vision
An Unconstrained Multiphase Thresholding Approach for Image Segmentation
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Projected Gradient Based Color Image Decomposition
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Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Anisotropic Smoothing Using Double Orientations
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
L0-Norm and Total Variation for Wavelet Inpainting
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration
Journal of Mathematical Imaging and Vision
Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Global optimization for first order Markov Random Fields with submodular priors
Discrete Applied Mathematics
Efficient minimization method for a generalized total variation functional
IEEE Transactions on Image Processing
SAR image regularization with fast approximate discrete minimization
IEEE Transactions on Image Processing
A Variational Approach to Semiautomatic Generation of Digital Terrain Models
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods
Journal of Mathematical Imaging and Vision
IEEE Transactions on Image Processing
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients
Journal of Mathematical Imaging and Vision
Deblurring Poissonian images by split Bregman techniques
Journal of Visual Communication and Image Representation
A note on the discrete binary Mumford-Shah model
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Discrete regularization on weighted graphs for image and mesh filtering
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Total variation minimization and graph cuts for moving objects segmentation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Continuous global optimization in multiview 3D reconstruction
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Journal of Mathematical Imaging and Vision
An Augmented Lagrangian Method for TVg+L1-norm Minimization
Journal of Mathematical Imaging and Vision
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
International Journal of Computer Vision
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
Journal of Mathematical Imaging and Vision
Global relabeling for continuous optimization in binary image segmentation
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Compression and denoising using l0-norm
Computational Optimization and Applications
Analysis and Generalizations of the Linearized Bregman Method
SIAM Journal on Imaging Sciences
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
SIAM Journal on Imaging Sciences
How Accurate Can Block Matches Be in Stereo Vision?
SIAM Journal on Imaging Sciences
Total Variation as a Local Filter
SIAM Journal on Imaging Sciences
Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia
Domain decomposition methods with graph cuts algorithms for total variation minimization
Advances in Computational Mathematics
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
New algorithms for convex cost tension problem with application to computer vision
Discrete Optimization
Segmentation with non-linear regional constraints via line-search cuts
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Approximate envelope minimization for curvature regularity
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Uzawa block relaxation methods for color image restoration
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Nonlinear Multilayered Representation of Graph-Signals
Journal of Mathematical Imaging and Vision
A cyclic projected gradient method
Computational Optimization and Applications
Linear convergence analysis of the use of gradient projection methods on total variation problems
Computational Optimization and Applications
Ancient documents denoising and decomposition using aujol and chambolle algorithm
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Noise and illumination invariant road detection based on vanishing point
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Nonlinear multigrid method for solving the anisotropic image denoising models
Numerical Algorithms
Computer Vision and Image Understanding
Total variation regularization algorithms for images corrupted with different noise models: a review
Journal of Electrical and Computer Engineering
Compressive sensing using the modified entropy functional
Digital Signal Processing
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We observe that there is a strong connection between a whole class of simple binary MRF energies and the Rudin-Osher-Fatemi (ROF) Total Variation minimization approach to image denoising. We show, more precisely, that solutions to binary MRFs can be found by minimizing an appropriate ROF problem, and vice-versa. This leads to new algorithms. We then compare the efficiency of various algorithms.