This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and
some of its uses in human color vision research. The main types of hyperspectral cameras …

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 …

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 …

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

Illuminant estimation to achieve color constancy is an ill-posed problem. Searching the large
hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of …

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 …

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

The double-opponent (DO) color-sensitive cells in the primary visual cortex (V1) of the
human visual system (HVS) have long been recognized as the physiological basis of color …

The growing demand for sustainable and energy-efficient buildings has highlighted the
need for reliable and accurate methods to detect fenestration deterioration and assess UV …