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

Advances in Computational Intelligence, 2023, Vol.14391, p.152-167

2023

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Nonlinear DIP-DiracVTV Model for Color Image Restoration

Advances in Computational Intelligence, 2023, Vol.14391, p.168-181

2023

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

Scale Space and Variational Methods in Computer Vision, 2012, p.483-494

2012

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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, Vol.28 (18), p.1-8

2016

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Duality Principle for Image Regularization and Perceptual Color Correction Models

Lecture notes in computer science, 2015, Vol.9087, 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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Generalized Gradient on Vector Bundle – Application to Image Denoising

Lecture notes in computer science, 2013, p.12-23

2013

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Nonlinear L2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^2$$\end{document}-DiracVTV Model for Color Image Restoration

Advances in Computational Intelligence, 2024, p.198-212

2024

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Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods

Denoising of Photographic Images and Video, 2018, p.295-329

2018

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The Clifford-Hodge Flow: An Extension of the Beltrami Flow

Computer Analysis of Images and Patterns, 2009, p.394-401

2009

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

Lecture notes in computer science, 2019, Vol.11603, p.459-471

2019

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Denoising an Image by Denoising Its Components in a Moving Frame

Image and Signal Processing, 2014, p.375-383

2014

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Heat kernels of generalized laplacians-application to color image smoothing

2009 16th IEEE International Conference on Image Processing (ICIP), 2009, p.461-464

2009

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Harmonic Flow for Histogram Matching

Image and Video Technology -- PSIVT 2013 Workshops, 2014, Vol.8334, p.145-156

2014

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A Variational Method for the Optimization of Tone Mapping Operators

Image and Video Technology, 2014, Vol.8333, p.505-516

2014

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Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, p.4075-4084

2019

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Clifford–Fourier Transform and Spinor Representation of Images

Quaternion and Clifford Fourier Transforms and Wavelets, 2013, p.195

2013

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Clifford–Fourier Transform and Spinor Representation of Images

Quaternion and Clifford Fourier Transforms and Wavelets, 2013, p.177-195

2013

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Clifford–Fourier Transform for Color Image Processing

Geometric Algebra Computing, 2010, p.135-162

2010

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Blockwise similarity in [0,1] via triangular norms and Sugeno integrals - Application to cluster validity

2007 IEEE International Fuzzy Systems Conference, 2007, p.1-6

2007

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

Nonlinear DIP-DiracVTV Model for Color Image Restoration

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

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

Generalized Gradient on Vector Bundle – Application to Image Denoising

Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods

The Clifford-Hodge Flow: An Extension of the Beltrami Flow

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

Denoising an Image by Denoising Its Components in a Moving Frame

Heat kernels of generalized laplacians-application to color image smoothing

Harmonic Flow for Histogram Matching

A Variational Method for the Optimization of Tone Mapping Operators

Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

Clifford–Fourier Transform and Spinor Representation of Images

Clifford–Fourier Transform and Spinor Representation of Images

Clifford–Fourier Transform for Color Image Processing

Blockwise similarity in [0,1] via triangular norms and Sugeno integrals - Application to cluster validity

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