  We present a method to estimate the direction and color of the scene light
source from a single image. Our method is based on two main ideas: (a) we use a
new synthetic dataset with strong shadow effects with similar constraints to
the SID dataset; (b) we define a deep architecture trained on the mentioned
dataset to estimate the direction and color of the scene light source. Apart
from showing good performance on synthetic images, we additionally propose a
preliminary procedure to obtain light positions of the Multi-Illumination
dataset, and, in this way, we also prove that our trained model achieves good
performance when it is applied to real scenes.
