The angle-retaining color space (ARC) and the corresponding chromaticity diagram encode
information following a cylindrical color model. Their main property is that angular distances …

The human visual system unconsciously determines the color of the objects by “discounting”
the effects of the illumination, whereas machine vision systems have difficulty performing this …

Multispectral imaging is a technique that captures data across several bands of the light
spectrum, and it can be useful in many computer vision fields, including color constancy. We …

A pipeline for the generation of synthetic dataset of spectral scenes, with corresponding
sensor readings, is here proposed. The pipeline is composed of two main parts: Part 1 …

Deep neural networks (DNNs) have been widely used for illuminant estimation, which
commonly requires great efforts to collect sensor-specific data. In this paper, we propose a …

Removing the effects of the light source from a color-casted image is a key step for
numerous computer vision applications. Alongside introducing new color constancy …

Color constancy benchmarks are mostly created by using cameras with similar hardware
and by capturing the scenes under similar illuminants. Therefore, ground truth information is …

In this paper we propose the truncated edge-based color constancy. It is based on, and
extends, the edge-based framework by introducing the use of truncated Gaussian filters. The …

When it comes to visual perception, there are notable differences between the ways in which
humans and machines interpret and understand images. Unlike image acquisition systems …

Algorithms for computational color constancy are usually compared in terms of the angular
error between ground truth and estimated illuminant. Despite its wide adoption, there exists …