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 …

Computational color constancy is a fundamental prerequisite for many computer vision
applications. This paper presents a survey of many recent developments and state-of-the-art …

Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

We introduce a context for testing computational color constancy, specify our approach to
the implementation of a number of the leading algorithms, and report the results of three …

Cloud computing is emerging as a major trend in the ICT industry. While most of the
attention of the research community is focused on considering the perspective of the Cloud …

Edge-based color constancy methods make use of image derivatives to estimate the
illuminant. However, different edge types exist in real-world images, such as material …

Color constancy algorithms are generally based on the simplifying assumption that the
spectral distribution of a light source is uniform across scenes. However, in reality, this …

This paper presents a negative result: current machine colour constancy algorithms are not
good enough for colour-based object recognition. This result has surprised us since we …

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

A neural network can learn color constancy, defined here as the ability to estimate the
chromaticity of a scene's overall illumination. We describe a multilayer neural network that is …