Publications associées à Noyau (traitement d'image)

Jean-Baptiste Francis Marie Juliette Cordonnier

The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins.All these successful methods depend on a gradient-based learning algorithm to train a model on massive a ...

EPFL2023

Ori-Pixel, a Multi-DoFs Origami Pixel for Modular Reconfigurable Surfaces

Jamie Paik, Stefano Mintchev, Marco Salerno

Reconfigurable surfaces using robotic pixels can produce discretize 3D contours, shapes and motion patterns. In existing devices, the rendering resolution and richness of shapes and patterns are limited by the use of linear pixels that only produce single ...

2020

Gradient-Based Correction of Chromatic Aberration in the Joint Acquisition of Color and Near-Infrared Images

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

Chromatic aberration distortions, such as wavelength-dependent blur caused by imperfections in photographic lenses, have long been studied in color imaging. The problem becomes more challenging to solve in the case of color and near-infrared joint acquisit ...

Spie-Int Soc Optical Engineering2015

On the Relevance of Sparsity for Image Classification

Pascal Fua, Engin Türetken, Vincent Lepetit, Germán González Serrano, Roberto Rigamonti, Matthew Brown, Fethallah Benmansour

In this paper we empirically analyze the importance of sparsifying representations for classification purposes. We focus on those obtained by convolving images with linear filters, which can be either hand designed or learned, and perform extensive experim ...

Elsevier2014

The Third Gravitational Lensing Accuracy Testing (Great3) Challenge Handbook

Frédéric Courbin, Marc Gentile, Richard Massey

The GRavitational lEnsing Accuracy Testing 3 (GREAT3) challenge is the third in a series of image analysis challenges, with a goal of testing and facilitating the development of methods for analyzing astronomical images that will be used to measure weak gr ...

University of Chicago Press2014

Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition

Pierre Vandergheynst, Mahdad Hosseini Kamal

Multiple images of the same scene improve the result of multichannel blind deconvolution problem. However, existing techniques require alignment of channels. We define a multichannel deconvolution scheme for highly correlated images to estimated the blur k ...

2013

An Iterative Linear Expansion of Thresholds for l1-based Image Restoration

Thierry Blu, Hanjie Pan

This paper proposes a novel algorithmic framework to solve image restoration problems under sparsity assumptions. As usual, the reconstructed image is the minimum of an objective functional that consists of a data fidelity term and an l1 regularization. Ho ...

Institute of Electrical and Electronics Engineers2013

Eigensensing And Deconvolution For The Reconstruction Of Heat Absorption Profiles From Photoacoustic Tomography Data

Dimitri Nestor Alice Van De Ville, Thierry Blu, Zafer Dogan

Photoacoustic tomography (PAT) is a relatively recent imaging modality that is promising for breast cancer detection and breast screening. It combines the high intrinsic contrast of optical radiation with acoustic imaging at submillimeter spatial resolutio ...

Ieee2013

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Noyau (traitement d'image)

Transformer Models for Vision

Ori-Pixel, a Multi-DoFs Origami Pixel for Modular Reconfigurable Surfaces

Gradient-Based Correction of Chromatic Aberration in the Joint Acquisition of Color and Near-Infrared Images

On the Relevance of Sparsity for Image Classification

The Third Gravitational Lensing Accuracy Testing (Great3) Challenge Handbook

Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition

Learning Separable Filters with Shared Parts

Separable Filter Learning with Tensor Decomposition

An Iterative Linear Expansion of Thresholds for l1-based Image Restoration

Eigensensing And Deconvolution For The Reconstruction Of Heat Absorption Profiles From Photoacoustic Tomography Data

Graph Chatbot

Chattez avec Graph Search

The Third Gravitational Lensing Accuracy Testing (Great3) Challenge Handbook

Learning Separable Filters with Shared Parts

An Iterative Linear Expansion of Thresholds for l1-based Image Restoration

Separable Filter Learning with Tensor Decomposition

Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition

Gradient-Based Correction of Chromatic Aberration in the Joint Acquisition of Color and Near-Infrared Images

Eigensensing And Deconvolution For The Reconstruction Of Heat Absorption Profiles From Photoacoustic Tomography Data