Publications associées à Retouche numérique

Processing Megapixel Images with Deep Attention-Sampling Models

Existing deep architectures cannot operate on very large signals such as megapixel images due to computational and memory constraints. To tackle this limitation, we propose a fully differentiable end-to-end trainable model that samples and processes only a ...

Idiap2019

Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation

Emmanuel Emilien Louis Soubies, Sébastien Schaub

Total internal reflection fluorescence microscopy (TIRF) produces 2D images of the fluorescent activity integrated over a very thin layer adjacent to the glass coverslip. By varying the illumination angle (multi-angle TIRF), a stack of 2D images is acquire ...

IEEE2019

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Jean-Philippe Thiran, Hazim Kemal Ekenel, Mohammad Saeed Rad

By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its low-resolution counterpart. Although such objective functions generate near-ph ...

IEEE COMPUTER SOC2019

Deep learning assisted image transmission in multimode fibers

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Georgia Konstantinou

We propose a data -driven approach for light transmission control inside multimode fibers (MMFs). Specifically, we show that a convolutional neural network is able to reconstruct amplitude/phase modulated images from scrambled amplitude -only images obtain ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson

We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of several joint-spa ...

2019

Clinical equivalence assessment of T2 synthesized pediatric brain magnetic resonance imaging

Tobias Kober, Tom Hilbert, Jocelyn Philippe

Background and purpose. - Automated synthetic magnetic resonance imaging (MRI) provides qualitative, weighted image contrasts as well as quantitative information from one scan and is well-suited for various applications such as analysis of white matter dis ...

MASSON EDITEUR2019

MANTIS: A real-time quantitative multispectral imaging system for fusion plasmas

Basil Duval, Cristian Galperti, Yanis Andrebe, Artur Perek, Kevin Henricus Annemarie Verhaegh, Wouter Vijvers

This work presents a novel, real-time capable, 10-channel Multispectral Advanced Narrowband Tokamak Imaging System installed on the TCV tokamak, MANTIS. Software and hardware requirements are presented together with the complete system architecture. The im ...

AMER INST PHYSICS2019

Magic Prints: Image-Changing Prints Observed under Visible and 365 nm UV Light

Petar Pjanic, Marjan Shahpaski

In this paper we propose a novel layered-printing method consisting of superposed visible cmy and invisible fluorescent ultraviolet (UV) rgb inks. Our approach can be used to generate a variety of visual color-alteration effects such as revealing two compl ...

I S & T-SOC IMAGING SCIENCE TECHNOLOGY2019

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.

Retouche numérique

Processing Megapixel Images with Deep Attention-Sampling Models

Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Deep learning assisted image transmission in multimode fibers

Waveguide platform and methods for super-resolution fluorescence microscopy of sub-cellular structures

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Clinical equivalence assessment of T2 synthesized pediatric brain magnetic resonance imaging

MANTIS: A real-time quantitative multispectral imaging system for fusion plasmas

Color Image Segmentation Using a Fuzzy Inference System

Magic Prints: Image-Changing Prints Observed under Visible and 365 nm UV Light

Graph Chatbot

Chattez avec Graph Search

Processing Megapixel Images with Deep Attention-Sampling Models

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

MANTIS: A real-time quantitative multispectral imaging system for fusion plasmas

Waveguide platform and methods for super-resolution fluorescence microscopy of sub-cellular structures

Deep learning assisted image transmission in multimode fibers

Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation

Color Image Segmentation Using a Fuzzy Inference System

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Magic Prints: Image-Changing Prints Observed under Visible and 365 nm UV Light

Clinical equivalence assessment of T2 synthesized pediatric brain magnetic resonance imaging