Robust recovery of lost colors in underwater images remains a challenging problem. We
recently showed that this was partly due to the prevalent use of an atmospheric image …

For decades, photographs have been used to document space-time events and they have
often served as evidence in courts. Although photographers are able to create composites of …

Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

In this work we describe a Convolutional Neural Network (CNN) to accurately predict the
scene illumination. Taking image patches as input, the CNN works in the spatial domain …

In this paper, we present a three-stage method for the estimation of the color of the illuminant
in RAW images. The first stage uses a convolutional neural network that has been specially …

Exemplar-based learning or, equally, nearest neighbor methods have recently gained
interest from researchers in a variety of computer science domains because of the …

Auto white balance (AWB) is applied by camera hardware at capture time to remove the
color cast caused by the scene illumination. The vast majority of white-balance algorithms …

A camera's auto-white-balance (AWB) module operates under the assumption that there is a
single dominant illumination in a captured scene. AWB methods estimate an image's …

Most existing color constancy algorithms assume uniform illumination. However, in real-
world scenes, this is not often the case. Thus, we propose a novel framework for estimating …

Non-uniform and multi-illuminant color constancy are important tasks, the solution of which
will allow to discard information about lighting conditions in the image. Non-uniform …