Under the nighttime haze environment, the quality of acquired images will be deteriorated
significantly owing to the influences of multiple adverse degradation factors. In this paper …

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 …

Due to the complexity of real environment and potential defects of current simulation
datasets, either prior-based or deep learning-based single image dehazing methods may …

Influenced by glowing effects, nighttime haze removal is a challenging ill-posed task.
Existing nighttime dehazing methods usually result in glowing artifacts, color shifts …

Scene recovery is a fundamental imaging task for several practical applications, eg, video
surveillance and autonomous vehicles, etc. To improve visual quality under different …

Underwater images usually suffer from color casts and low contrast due to the absorption
and scattering of light by the water medium. The degradation is caused not only by the light …

Image dehazing is a pivotal preliminary step in the advancement of robust intelligent
surveillance system. However, it is an extremely challenging ill-posed problem, as it faces …

Images captured in adverse weather conditions, such as haze, fog, smog, or mist, have
reduced visibility, contrast, and color fidelity. These impairments challenge various computer …

Haze reduces the visibility of image content and leads to failure in handling subsequent
computer vision tasks. In this paper, we address the problem of single image dehazing by …

Haze removal, also known as image dehazing, plays an important role in image/video
processing and computer vision applications. Its main purpose is to eliminate haze to …