Publications associées à Astrophotographie

Deep learning-based galaxy image deconvolution

Frédéric Courbin, Pascale Jablonka, Jean-Luc Starck, Utsav Akhaury, Kevin Michalewicz

With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different images. A powerful and accessible deconvolution method woul ...

FRONTIERS MEDIA SA2022

Method and apparatus for volumetric additive manufacturing with digital distortion compensation

Christophe Moser, Paul Delrot, Damien Claude-Marie Loterie

The present invention is related to a method of digitally compensating distortions of rays of a light beam in tomography- based additive manufacturing, wherein said tomography-based additive manufacturing involves projecting light patterns from multiple an ...

2021

Learning convergence prediction of astrobots in multi-object spectrographs

Denis Gillet, Jean-Paul Richard Kneib, Matin Macktoobian, Francesco Basciani

Astrobot swarms are used to capture astronomical signals to generate the map of the observable universe for the purpose of dark energy studies. The convergence of each swarm in the course of its coordination has to surpass a particular threshold to yield a ...

2021

Compression and visual quality assessment for light field contents

Irene Viola

Since its invention in the 19th century, photography has allowed to create durable images of the world around us by capturing the intensity of light that flows through a scene, first analogically by using light-sensitive material, and then, with the advent ...

EPFL2019

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

Anand Stéphane Raichoor, Zheng Zheng, Johan Comparat, David Schlegel, John Wilson, Amy Jones, Yuguang Chen, Cheng Li, Guillaume Blanc, Jiayi Sun

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July-2017 July). This is the third data release for SDSS-I ...

2019

Extracting High Resolution Snow Distribution Information with Inexpensive Autonomous Cameras

Wolf Hendrik Huwald, Steven Vincent Weijs

This study details a procedure to derive high resolution snow cover information using low-cost autonomous cameras. Images from time lapse photography of target areas are used to obtain temporally resolved binary snow-covered area information. Various image ...

EasyChair2018

Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization

Pascal Frossard, Mattia Rossi

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering. However ...

2018

Testing parallaxes with local Cepheids and RR Lyrae stars

Stephan Morgenthaler, Mikaël Martino, Shuangqing Liao

Context. Parallaxes for 331 classical Cepheids, 31 Type II Cepheids, and 364 RR Lyrae stars in common between Gaia and the HIPPARCOS and Tycho-2 catalogues are published in Gaia Data Release 1 (DR1) as part of the Tycho-Gaia Astrometric Solution (TGAS). Ai ...

Edp Sciences S A2017

Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects

Frédéric Courbin, Rémy Elie Joseph

We introduce a new algorithm for colour separation and deblending of multi-band astronomical images called MuSCADeT which is based on Morpho-spectral Component Analysis of multi-band images. The MuSCADeT algorithm takes advantage of the sparsity of astrono ...

Edp Sciences S A2016

The Eleventh And Twelfth Data Releases Of The Sloan Digital Sky Survey: Final Data From Sdss-Iii

Jean-Paul Richard Kneib, Timothée Guy Olivier Delubac, Zheng Zheng, Johan Comparat, David Schlegel, Jian Liu, Yuguang Chen, Yue Shen, Pierre Laurent

The third generation of the Sloan Digital Sky Survey (SDSS-III) took data from 2008 to 2014 using the original SDSS wide-field imager, the original and an upgraded multi-object fiber-fed optical spectrograph, a new near-infrared high-resolution spectrograp ...

Iop Publishing Ltd2015