Antonin Chambolle focuses on Applied mathematics, Algorithm, Mathematical analysis, Mathematical optimization and Image segmentation. His Applied mathematics research integrates issues from Image processing and Iterated function. His work carried out in the field of Algorithm brings together such families of science as Noise reduction, Artificial intelligence and Diagonal.
His work on Sequence and Bounded function as part of his general Mathematical analysis study is frequently connected to Pressure load and Void, thereby bridging the divide between different branches of science. Antonin Chambolle interconnects Regular polygon, Convex optimization and Total variation denoising in the investigation of issues within Mathematical optimization. His Total variation denoising study combines topics from a wide range of disciplines, such as Deconvolution, Uniqueness and Constrained optimization.
Antonin Chambolle mostly deals with Mathematical analysis, Algorithm, Regular polygon, Applied mathematics and Uniqueness. His work deals with themes such as Flow, Mean curvature, Mean curvature flow, Curvature and Anisotropy, which intersect with Mathematical analysis. His research in Algorithm intersects with topics in Noise reduction, Artificial intelligence and Convex optimization.
His study of Total variation denoising is a part of Noise reduction. Antonin Chambolle usually deals with Regular polygon and limits it to topics linked to Mathematical optimization and Convex function. As a part of the same scientific study, Antonin Chambolle usually deals with the Applied mathematics, concentrating on Image processing and frequently concerns with Numerical analysis.
Applied mathematics, Mathematical analysis, Limit, Flow and Mean curvature are his primary areas of study. His study in Applied mathematics is interdisciplinary in nature, drawing from both Discretization and Hilbert space. His work in Mathematical analysis addresses issues such as Dimension, which are connected to fields such as Energy.
His research integrates issues of Bounded function, Uniqueness and Anisotropy in his study of Mean curvature. His Mean curvature flow study integrates concerns from other disciplines, such as Partition and Regular polygon. His Convex optimization study combines topics in areas such as Total variation denoising and Convex hull.
His scientific interests lie mostly in Applied mathematics, Brittle fracture, Energy, Mathematical analysis and Pure mathematics. Antonin Chambolle has researched Applied mathematics in several fields, including Discretization, Curvature, Polygon mesh and Orientation. As part of the same scientific family, Antonin Chambolle usually focuses on Brittle fracture, concentrating on Dirichlet boundary condition and intersecting with Function, Bounded set, Combinatorics, Nonnegative function and Approximation property.
His biological study deals with issues like Dimension, which deal with fields such as Domain, Bounded deformation and Special functions. The various areas that Antonin Chambolle examines in his Mathematical analysis study include Proper convex function, Convex analysis, Forcing, Convex hull and Total variation denoising. His studies deal with areas such as Type and Strong solutions as well as Pure mathematics.
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A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
Antonin Chambolle;Thomas Pock.
Journal of Mathematical Imaging and Vision (2011)
Image recovery via total variation minimization and related problems
Antonin Chambolle;Pierre-Louis Lions.
Numerische Mathematik (1997)
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
A. Chambolle;R. A. De Vore;Nam-Yong Lee;B. J. Lucier.
IEEE Transactions on Image Processing (1998)
Practical, Unified, Motion and Missing Data Treatment in Degraded Video
Journal of Mathematical Imaging and Vision (2004)
An introduction to Total Variation for Image Analysis
Antonin Chambolle;Vicent Caselles;Matteo Novaga;Daniel Cremers.
Diagonal preconditioning for first order primal-dual algorithms in convex optimization
Thomas Pock;Antonin Chambolle.
international conference on computer vision (2011)
Dual Norms and Image Decomposition Models
Jean-François Aujol;Antonin Chambolle.
International Journal of Computer Vision (2005)
Image Decomposition into a Bounded Variation Component and an Oscillating Component
Jean-François Aujol;Gilles Aubert;Laure Blanc-Féraud;Antonin Chambolle.
Journal of Mathematical Imaging and Vision (2005)
An algorithm for minimizing the Mumford-Shah functional
Thomas Pock;Daniel Cremers;Horst Bischof;Antonin Chambolle.
international conference on computer vision (2009)
Total variation minimization and a class of binary MRF models
energy minimization methods in computer vision and pattern recognition (2005)
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