Approaching the computational color constancy as a classification problem through deep learning

SW Oh, SJ Kim - Pattern Recognition, 2017 - Elsevier
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Approaching the computational color constancy as a classification problem through deep learning

SW Oh, SJ Kim - Pattern Recognition, 2017 - infona.pl
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

S Wug Oh, SJ Kim - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Approaching the computational color constancy as a classification problem through deep learning

SW Oh, SJ Kim - Pattern Recognition, 2017 - yonsei.elsevierpure.com
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

SW Oh, SJ Kim - arXiv preprint arXiv:1608.07951, 2016 - arxiv.org
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Approaching the computational color constancy as a classification problem through deep learning

SW Oh, SJ Kim - Pattern Recognition, 2017 - ui.adsabs.harvard.edu
Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …