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 …

For real-time single-image dehazing, this paper suggests a straightforward and efficient
saturation-based transmission map estimation method. For the suggested image dehazing …

The visibility of outdoor images is usually significantly degraded by haze. Existing dehazing
algorithms, such as dark channel prior (DCP) and colour attenuation prior (CAP), have made …

Haze is one of the common factors that degrades the visual quality of the images and
videos. This diminishes contrast and reduces visual efficiency. The ALS (Atmospheric light …

Restoring hazy images is challenging since it must account for several physical factors that
are related to the image formation process. Existing analytical methods can only provide …

As an advanced machine vision task, traffic sign recognition is of great significance to the
safe driving of autonomous vehicles. Haze has seriously affected the performance of traffic …

A binocular vision-based approach for the restoration of images captured in a scattering
medium is presented. The scene depth is computed by triangulation using stereo matching …

A real-time system for restoration of images degraded by haze is presented. First, a
transmission function estimator is automatically constructed using genetic programming …

People reidentification is a fundamental task in automated video surveillance based on
computer vision. Reidentification happens when a person seen in a field of view is the same …

Binocular vision is an effective technique for depth estimation in outdoor applications.
However, the performance of this technique can be affected by low-contrasted images …