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A Level Set Model for Image Classification
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Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
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Hierarchical Estimation and Segmentation of Dense Motion Fields
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Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation
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A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples
International Journal of Computer Vision
A half-quadratic block-coordinate descent method for spectral estimation
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Satellite Image Deblurring Using Complex Wavelet Packets
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Adaptive rest condition potentials: first and second order edge-preserving regularization
Computer Vision and Image Understanding
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ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Image Segmentation by Flexible Models Based on Robust Regularized Networks
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
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A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Two Variational Models for Multispectral Image Classification
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Use of PVM for MAP Image Restoration: A Parallel Implementation of the ARTUR Algorithm
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Fast Local Estimation of Optical Flow Using Variational and Wavelet Methods
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Color image segmentation based on edge-preservation smoothing and soft C-means clustering
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
A Variational Approach to Remove Outliers and Impulse Noise
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Shape Restoration via a Regularized Curvature Flow
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Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Image Binarization and its Multi-Scale Realizations
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Medical Image Registration and Interpolation by Optical Flow with Maximal Rigidity
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Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's
International Journal of Computer Vision
Resolution enhancement via probabilistic deconvolution of multiple degraded images
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Image Deblurring in the Presence of Impulsive Noise
International Journal of Computer Vision
An adaptive algorithm for image restoration using combined penalty functions
Pattern Recognition Letters
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
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Iterative methods for the reconstruction of astronomical images with high dynamic range
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A Finite Markov Random Field approach to fast edge-preserving image recovery
Image and Vision Computing
Using Fourier local magnitude in adaptive smoothness constraints in motion estimation
Pattern Recognition Letters
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
A 3-step algorithm using region-based active contours for video objects detection
EURASIP Journal on Applied Signal Processing
Robust estimation and wavelet thresholding in partially linear models
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A nonlinear entropic variational model for image filtering
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Edge-preserving wavelet thresholding for image denoising
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Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
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Nonlocal Prior Bayesian Tomographic Reconstruction
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High performance edge-preserving regularization in 3D SPECT imaging
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Image Compression with Anisotropic Diffusion
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Convergence of Fixed Point Iteration for Modified Restoration Problems
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Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
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Edge-and-corner preserving regularization for image interpolation and reconstruction
Image and Vision Computing
Detail-Preserving Regularization Based Removal of Impulse Noise from Highly Corrupted Images
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
A non-local regularization strategy for image deconvolution
Pattern Recognition Letters
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ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
International Journal of Computer Vision
Some First-Order Algorithms for Total Variation Based Image Restoration
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SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Superresolution reconstruction using nonlinear gradient-based regularization
Multidimensional Systems and Signal Processing
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ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
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ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients
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Joint deconvolution and demosaicing
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Introducing shape priors in object-based tomographic reconstruction
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High dynamic range compression by half quadratic regularization
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Generalised Nonlocal Image Smoothing
International Journal of Computer Vision
Pattern Recognition Letters
Robust Jacobian matrix estimation for image-based visual servoing
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MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
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Impulse noise filtering using robust pixel-wise S-estimate of variance
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Optical flow estimation with prior models obtained from phase correlation
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Image denoising with a constrained discrete total variation scale space
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
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Multidimensional Systems and Signal Processing
Optimization by Stochastic Continuation
SIAM Journal on Imaging Sciences
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NAA'04 Proceedings of the Third international conference on Numerical Analysis and its Applications
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DAGM'06 Proceedings of the 28th conference on Pattern Recognition
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Stability and local feature enhancement of higher order nonlinear diffusion filtering
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Fast edge preserving picture recovery by finite markov random fields
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A well-posed multiscale regularization scheme for digital image denoising
International Journal of Applied Mathematics and Computer Science
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Towards PDE-Based image compression
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Color image deblurring with impulsive noise
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Curvature-Preserving regularization of multi-valued images using PDE's
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Regularization with adaptive neighborhood condition for image denoising
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Convex Approximation Technique for Interacting Line Elements Deblurring: a New Approach
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On a System of Adaptive Coupled PDEs for Image Restoration
Journal of Mathematical Imaging and Vision
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Many image processing problems are ill-posed and must be regularized. Usually, a roughness penalty is imposed on the solution. The difficulty is to avoid the smoothing of edges, which are very important attributes of the image. In this paper, we first give conditions for the design of such an edge-preserving regularization. Under these conditions, we show that it is possible to introduce an auxiliary variable whose role is twofold. First, it marks the discontinuities and ensures their preservation from smoothing. Second, it makes the criterion half-quadratic. The optimization is then easier. We propose a deterministic strategy, based on alternate minimizations on the image and the auxiliary variable. This leads to the definition of an original reconstruction algorithm, called ARTUR. Some theoretical properties of ARTUR are discussed. Experimental results illustrate the behavior of the algorithm. These results are shown in the field of 2D single photon emission tomography, but this method can be applied in a large number of applications in image processing