In the task of haze scene restoration, dark channel prior is the most convincing theory. Its
biggest contribution is to introduce the concept of dark channel map, which is convenient for …

The object identification within an image captured during rough weather conditions (such as
haze, fog) poses difficulty due to the reduction of an image. The rough weather conditions …

Haze usually degrades the visibility of outdoor images and decreases their visual quality.
Previous techniques are not sufficient enough to deal with dehazing problem by using …

Haze is a source of unreliability for computer vision applications in outdoor scenarios, and it
is usually caused by atmospheric conditions. The Dark Channel Prior (DCP) has shown …

In this letter, we explore the dark channel prior from a new perspective. By re-formulating the
dark channel, it is found that the dark channel correlates closely with the saturation and …

In this research, an image defogging algorithm is proposed for the electricity transmission
line monitoring system in the smart city. The electricity transmission line image is typically …

Existing learning-based dehazing methods are prone to cause excessive dehazing and
failure to dense haze, mainly because that the global features of hazy images are not fully …

The learning-based methods have recently shown their advantages in the image dehazing
task. However, most existing learning-based methods do not pay much attention to the …

Image defogging is an essential technology used in traffic safety monitoring, military
surveillance, satellite and remote sensing image processing, medical image diagnostics …

This paper proposed a three-step hazy image restoration method. Firstly, in HSI color space,
we proposed a novel histogram equalization algorithm based on just noticeable difference …