When one captures images in low-light conditions, the images often suffer from low visibility.
Besides degrading the visual aesthetics of images, this poor quality may also significantly …

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 …

In this article we provide an overview of color name applications in computer vision. Color
names are linguistic labels which humans use to communicate color. Computational color …

In this paper, we propose a novel color constancy approach, called Bag of Color Features
(BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces …

Deep learning (DL) models have been recently widely used to extract task-oriented patterns
from large scale of datasets, and to improve the data image understanding and analysis …

Computational color constancy is an important component of Image Signal Processors (ISP)
for white balancing in many imaging devices. Recently, deep convolutional neural networks …

It is an ill-posed problem to recover the true scene colors from a color biased image by
discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same …

Image Processing for Cinema presents a detailed overview of image processing techniques
that are used in practice in digital cinema. The book shows how image processing has …

The presence of suspended particles in turbid media not only superimposes a veil on the
scene but also changes the color of the scene, resulting in poor visibility and low contrast of …

This work introduces a fuzzy rule-based system operating as a selector of color constancy
algorithms for the enhancement of dark images. In accordance with the actual content of an …