Comparative Analysis of Image Defogging with its Techniques and Types

Images play an important role in the real world, images are used for describing the changes in the environment and also use of traffic analysis. Images are captured in open environment due to the bed whether or atmosphere images are not a clear. Images acquired in the bad weather, such as the fog and haze, are extremely degraded by scatting of the atmosphere, which creates the image color gray, decreases the contrast and create the object features challenging to recognize. The bad weather not only lead to variant of the visual outcome of the image, but also to the difficulty of the post processing of the image, as well as the inconvenience of entirely types of the tools which rely on the optical imaging, such as satellite remote sensing method, aerial photo method, outdoor monitoring method and object identification method. There are some prior assumptions which need to be considered in removal of the fog. So basically fog removal algorithms work by estimating the depth. There are numerous applications of fog removal such as in the case of navigation and tracking, entertaining industries, and customer electronics.