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A Decomposition Framework for Image Denoising Algorithms

IEEE transactions on image processing, 2016-01, Vol.25 (1), p.388-399

2016

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A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values

SIAM journal on imaging sciences, 2023-01, Vol.16 (3), p.1235-1280

Batard, Thomas

2023

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DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

SIAM journal on imaging sciences, 2021-01, Vol.14 (4), p.1816-1847

2021

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Spinor Fourier Transform for Image Processing

IEEE journal of selected topics in signal processing, 2013-08, Vol.7 (4), p.605-613

2013

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A Geometric Model of Brightness Perception and Its Application to Color Images Correction

Journal of mathematical imaging and vision, 2018-07, Vol.60 (6), p.849-881

2018

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Derivatives and inverse of cascaded linear+nonlinear neural models

PloS one, 2018-10, Vol.13 (10), p.e0201326-e0201326

2018

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Heat Equations on Vector Bundles—Application to Color Image Regularization

Journal of mathematical imaging and vision, 2011-09, Vol.41 (1-2), p.59-85

Batard, Thomas

2011

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A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing

Journal of mathematical imaging and vision, 2014-03, Vol.48 (3), p.517-543

2014

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Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience

Journal of mathematical imaging and vision, 2020-11, Vol.62 (9), p.1173-1194

2020

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Optimizing layout using spatial quality metrics and user preferences

Graphical models, 2017-09, Vol.93, p.25-38

2017

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Correcting for induction phenomena on displays of different size

Journal of vision (Charlottesville, Va.), 2016-09, Vol.16 (12), p.224

2016

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Retinal Processing Optimizes Contrast Coding

Journal of vision (Charlottesville, Va.), 2016-09, Vol.16 (12), p.1151

2016

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Clifford Bundles: A Common Framework for Image, Vector Field, and Orthonormal Frame Field Regularization

SIAM journal on imaging sciences, 2010-01, Vol.3 (3), p.670-701

Batard, Thomas

2010

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On Covariant Derivatives and Their Applications to Image Regularization

SIAM journal on imaging sciences, 2014-01, Vol.7 (4), p.2393-2422

2014

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The Wilson-Cowan model describes Contrast Response and Subjective Distortion

Journal of vision (Charlottesville, Va.), 2017-08, Vol.17 (10), p.657

2017

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A Metric Approach to nD Images Edge Detection with Clifford Algebras

Journal of mathematical imaging and vision, 2009-03, Vol.33 (3), p.296-312

2009

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Nonlinear DIP-DiracVTV Model for Color Image Restoration

Advances in Computational Intelligence, p.168-181

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T(G)V-NeRF: A Strong Baseline in Regularized Neural Radiance Fields with Few Training Views

Advances in Computational Intelligence, p.152-167

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Clifford Algebra Bundles to Multidimensional Image Segmentation

Advances in applied Clifford algebras, 2010-10, Vol.20 (3-4), p.489-516

2010

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A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception

Scale Space and Variational Methods in Computer Vision, 2019, p.459-471

2019

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Polyakov Action on (ρ,G)-Equivariant Functions Application to Color Image Regularization

Scale Space and Variational Methods in Computer Vision, p.483-494

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A Nonlocal Variational Formulation for the Improvement of Tone Mapped Images

SIAM journal on imaging sciences, 2014-01, Vol.7 (4), p.2340-2363

2014

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Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output

Electronic Imaging, 2016-02, Vol.28 (18), p.1-8

2016

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Duality Principle for Image Regularization and Perceptual Color Correction Models

Scale Space and Variational Methods in Computer Vision, 2015, p.449-460

2015

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Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.3111-3115

2016

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Einstellungen

A Decomposition Framework for Image Denoising Algorithms

A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values

DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

Spinor Fourier Transform for Image Processing

A Geometric Model of Brightness Perception and Its Application to Color Images Correction

Derivatives and inverse of cascaded linear+nonlinear neural models

Heat Equations on Vector Bundles—Application to Color Image Regularization

A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing

Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience

Optimizing layout using spatial quality metrics and user preferences

Correcting for induction phenomena on displays of different size

Retinal Processing Optimizes Contrast Coding

Clifford Bundles: A Common Framework for Image, Vector Field, and Orthonormal Frame Field Regularization

On Covariant Derivatives and Their Applications to Image Regularization

The Wilson-Cowan model describes Contrast Response and Subjective Distortion

A Metric Approach to nD Images Edge Detection with Clifford Algebras

Nonlinear DIP-DiracVTV Model for Color Image Restoration

T(G)V-NeRF: A Strong Baseline in Regularized Neural Radiance Fields with Few Training Views

Clifford Algebra Bundles to Multidimensional Image Segmentation

A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception

Polyakov Action on (ρ,G)-Equivariant Functions Application to Color Image Regularization

A Nonlocal Variational Formulation for the Improvement of Tone Mapped Images

Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output

Duality Principle for Image Regularization and Perceptual Color Correction Models

Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise

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