The red spectrum is saliently attenuated due to the absorption and scattering properties of
water. The acquired underwater images show severe color cast in underwater scenes. In …

We present here a method for computational color constancy in which a deep convolutional
neural network is trained to detect achromatic pixels in color images after they have been …

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 …

In this paper, we propose a novel white balance adjustment for multi-illuminant scenes,
called “N-white balancing,” in which source white points are mapped into a ground truth one …

Nighttime conditions pose a significant challenge to color constancy due to the diversity of
lighting conditions and the presence of substantial low-light noise. Existing color constancy …

Auto-white balance (AWB) correction is a critical operation in image signal processors for
accurate and consistent color correction across various illumination scenarios. This paper …

Computational color constancy has the important task of reducing the influence of the scene
illumination on the object colors. As such, it is an essential part of the image processing …

To achieve computer vision color constancy (CVCC), it is vital but challenging to estimate
scene illumination from a digital image, which distorts the true color of an object. Estimating …

We recently proposed a color constancy method based on the observations that the human
visual system might be" discounting the illuminant" by using space-average color and the …

Style may refer to different concepts (eg painting style, hairstyle, texture, color, filter, etc.)
depending on how the feature space is formed. In this work, we propose a novel idea of …