Because of sensor malfunction and poor atmospheric conditions, there is usually a great
deal of missing information in optical remote sensing data, which reduces the usage rate …

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 …

Hazy images captured under ill-posed scenarios with scattering medium (ie haze, fog, or
smoke) are contaminated in visibility. Inevitably, these images are further degraded by …

This paper describes a novel method to enhance underwater images by image dehazing.
Scattering and color change are two major problems of distortion for underwater imaging …

Clouds are obstructions for land-surface observation, which result in the regional information
being blurred or even lost. Thin clouds are transparent, and images of regions covered by …

Single image dehazing can benefit many computer vision applications hence has attracted
much more attention in recent years. However, it still remains a challenging task due to its …

The contrast of remote sensing images captured in haze condition is poor, which influences
their interpretation. In this letter, a novel dehazing algorithm based on the deformed haze …

Multispectral remote sensing images are often contaminated by haze, which causes low
image quality. In this paper, a novel dehazing method based on a deep convolutional neural …

Image visibility is affected by the presence of haze, fog, smoke, aerosol, etc. Image dehazing
using either single visible image or visible and near-infrared (NIR) image pair is often …

Satellite remote sensing image often suffers from haze degradation, which deteriorates
significantly the effect of data intelligibility and interpretability. Hence, haze removal …