Predicting atmospheric visibility is a fundamental task nowadays. On the one hand, poor visibility due to adverse weather situations such as fog, haze, smog or haze presents numerous challenges for drivers, including strong negative visual effects and the decrease in the ability to see through the air, which is truly relevant for driving safety. These challenges arise due to the reduction of luminance contrast. A rapid decrease in the contrast of objects in the field of view, scattered light causes a complete loss of object detection or object recognition becomes difficult and the visual response time increases significantly. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay Furthermore, due to the reduction in optical fidelity of the aging eye, older drivers especially suffer. Especially in the case of thick fog, the diffused light becomes more harmful and small objects approach the visibility threshold. This, in turn, leads to fatal accidents on the roads. In fact, according to statistics provided by the National Highway Traffic Safety Administration (NHTSA) of the United States, 28% of all accidents occur in adverse weather conditions and the World Health Organization (WHO) declared that one person dies every 25 seconds due to road injuries. [x1]. Furthermore, in disturbed weather conditions, the estimated average of total annual accidents is approximately 31,385, over 511 deaths on the road and every year almost 12,000 injuries due to accidents in poorly visible weather conditions [P1]. Additionally, zero visibility can trigger extensive airport delays and cancellations. This not only leads to huge losses for airports and airlines, but also affects public travel. At the same time, flight safety and poor visibility are closely related, since low clouds or poor visibility are a common cause of flight accidents [E3, E10, E13, E14, E16]. Similar to the aviation sector, poor visibility also affects water transport operations [E4, E22]. On the other hand, visibility degradation strongly decreases the image quality of a captured outdoor scene. Since visibility is much better in clear weather than in air polluted by large amounts of water droplets or dust particles in the atmosphere. The main reason for outdoor image quality degradation in foggy or foggy conditions is the large amount of fog or mist particles suspended in the air, leading to most of the light scattering before reaching the camera or other device optical. As a result, blurring occurs in the entire image [1, 2]. These types of scenes with degraded and poorly visible images greatly affect computer vision applications and embedded systems. For example, navigation, tracking applications and monitoring systems; external recognition, detection and segmentation; intelligent transportation systems; optical and camera-based applications used in military and security agencies, etc. Hereby, at present, numerous security and traffic monitoring cameras are deployed throughout the country and various vision-based applications widely used. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay In detail, the United States acquires approximately 30 million surveillance cameras and 4 billion hours of footage per week [lnk1]. Furthermore, in the United Kingdom and South Korea, the total number estimated.