Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

Outdoor images are used in a vast number of applications, such as surveillance, remote
sensing, and autonomous navigation. The greatest issue with these types of images is the …

Visibility issues in intelligent transportation systems are exacerbated by bad weather
conditions such as fog and haze. It has been observed from recent studies that major road …

Haze and fog are big reasons for road accidents. The haze occurrence in the air lowers the
images quality captured by visible camera sensors. Haze brings inconvenience to numerous …

The vision system is important for almost all kinds of autonomous driving systems. However,
visual data interfered by scattering media, such as smoke, haze, water, and other non …

Foggy images suffer from low contrast and poor visibility problem along with little color
information of the scene. It is imperative to remove fog from images as a pre-processing step …

Outdoor images captured in bad weather are prone to yield poor visibility, which is a fatal
problem for most computer vision applications. The majority of existing dehazing methods …

The remote sensing imaging detection technology is an important means to effectively
monitor and manage urban environment and resources, and remote sensing images are an …

The images and videos captured in bad weather usually have low quality caused by
reduced contrast and faded color. However, traditional techniques are not sufficient to solve …

Unmanned aerial vehicles (UAVs) equipped with compact digital cameras and multi-spectral
sensors are used in remote sensing applications and environmental studies. Recently, due …