Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

Haze poses a great challenge in modern-day applications. Removing haze is a challenging
task because haze varies with the depth of the scenes in the image. Many automated …

For the last two decades, image processing techniques have been used frequently in
computer vision applications. The most challenging task in image processing is restoring …

Image dehazing is always a hot topic in the field of computer vision since haze has
significant impact on the imaging quality of camera. Therefore, many image dehazing …

Haze is a poor-quality state described by the opalescent appearance of the atmosphere
which reduces the visibility. It is caused by high concentrations of atmospheric air pollutants …

Image has important applications in many fields such as marine surveillance, environment
monitoring and so on. The scattering effects of the atmospheric particles in the air play a …

Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …

抄録< jats: p> The presence of haze significantly reduces the quality of images. Researchers
have designed a variety of algorithms for image dehazing (ID) to restore the quality of hazy …

Images captured under outdoor scenes usually suffer from low contrast and limited visibility
due to suspended atmospheric particles, which directly affects the quality of photographs …

This paper proposes a new haze layer based single image dehazing algorithm. The residual
images, which exists between the hazy images and the clear images, will be firstly obtained …