Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

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 …

Adverse weather conditions such as fog, haze, snow, mist and glare create visibility
problems for applications of autonomous vehicles. To ensure safe and smooth operations in …

Many real-life tasks such as military reconnaissance and traffic monitoring require high-
quality images. However, images acquired in foggy or hazy weather pose obstacles to the …

Under hazy weather condition, images captured by electronic imaging devices frequently
encounter a number of issues, such as blurring of image details and the poorly defined …

The current competitive approaches to restoring haze-free images are mainly based on
physical models and learning methods. Maintaining detail information of the image while …

Image harmonization aims to address inharmony between the foreground and background
of composite images. Current methods mainly adopt the encoder-decoder reconstruction …

Remote sensing (RS) image dehazing holds immense importance for enhancing the utility of
remote sensing technology across both military and civilian domains. Due to the ineffective …

Severe contrast degradation in an image result in a substantial loss of crucial visible
information. A novel unsupervised image enhancement algorithm is proposed in this paper …

As one of the most common adverse weather phenomena, haze has caused detrimental
effects on many computer vision systems. To eliminate the effect of haze, in the field of …