The presence of haze in the atmosphere degrades the quality of images captured by visible
camera sensors. The removal of haze, called dehazing, is typically performed under the …

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 …

We propose a new end-to-end single image dehazing method, called Densely Connected
Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map …

Poor weather conditions, such as fog, haze, and mist, cause visibility degradation in
captured images. Existing imaging devices lack the ability to effectively and efficiently …

Images degraded by light scattering and absorption, such as hazy, sandstorm, and
underwater images, often suffer color distortion and low contrast because of light traveling …

Scene recovery is a fundamental imaging task with several practical applications, including
video surveillance and autonomous vehicles, etc. In this article, we provide a new real-time …

Existing learning-based atmospheric particle-removal approaches such as those used for
rainy and hazy images are designed with strong assumptions regarding spatial frequency …

Due to the limitations of image-capturing devices or the presence of a non-ideal
environment, the quality of digital images may get degraded. In spite of much advancement …

Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their
visual quality. The image processing task concerned with the mitigation of this effect is …

Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …