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 …

This article introduces a novel solution to improve image enhancement in terms of color
appearance. Our approach, called Color Channel Compensation (3C), overcomes artifacts …

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 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 …

Illuminant estimation is a key step for computational color constancy. Instead of using the
grey world or grey edge assumptions, we propose in this paper a novel method for …

We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness
and efficiency in illumination estimation. The grayness index, GI in short, is derived using the …

This paper examines the problem of illumination spectra estimation in multispectral images.
We cast the problem into a constrained matrix factorization problem and present a method …

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 …

Annotated datasets for automatic white balance (AWB) are used for the evaluation and,
when necessary, the training, of AWB methods. Relying on such datasets requires …