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 …

Illumination estimation is an important component of color constancy and automatic white
balancing. A number of methods of combining illumination estimates obtained from multiple …

In illuminant estimation, we attempt to estimate the RGB of the light. We then use this
estimate on an image to correct for the light's colour bias. Illuminant estimation is an …

In this work we design an adaptive color constancy algorithm that, exploiting the skin regions
found in faces, is able to estimate and correct the scene illumination. The algorithm …

The goal of automatic white balance (AWB) is to maintain colour constancy of an image by
removing colour cast caused by un-canonical illuminant. In this paper, we address two …

Color images often must be color balanced to remove unwanted color casts. We extend
previous work on using a neural network for illumination, or white-point, estimation from the …

Computational color constancy aims to estimate the actual color in an acquired scene
disregarding its illuminant. Many illuminant estimation solutions have been proposed in 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 …

Illumination estimation is the essential step of computational color constancy, one of the core
parts of various image processing pipelines of modern digital cameras. Having an accurate …

This thesis presents a neural network approach to colour constancy: a neural network is
used to estimate the chromaticity of the illuminant in a scene based only on the image data …