Vision gets obscured in adverse weather conditions, such as heavy downpours, dense fog,
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …

In recent years, image dehazing has gained significant attention in the field of computer
vision and image processing due to its crucial role in enhancing visibility and improving …

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 …

Image haze occurs due to the scattering of light by particles or molecules in the atmosphere.
This phenomenon reduces visibility and degrades the quality of images, especially in …

Photographs taken under foggy conditions are prone to low contrast, color deviation, and
blurred local details, which are detrimental to advanced computer vision tasks such as …

Image dehazing remains a continuously ever-evolving subject of study in computer vision.
The existence of airborne elements in the environment, such as haze, fog, and mist, can …

Haze poses a great challenge in modern-day applications. Removing haze is a challenging
task because haze varies with the depth of the scenes in the image. Many automated …

Vision-based applications deal with the degraded quality of images due to bad environment.
During the bad environment, particles such as haze, fog, and mist, etc. diminish the clarity of …

Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …

Our study aims to review and analyze the most relevant studies in the image dehazing field.
Many aspects have been deemed necessary to provide a broad understanding of various …