Paper Title
Image De-hazing Hybrid GGIF and Self Adaptive Deep Learning Technique

Many filters have been developed for haze removal. The latest existing technique is de-hazing by the use of a globally guided image filtering. The main task is to remove haze from the image without hampering its originality. The structure of the image should be color appropriate. For this, a deep learning method (DehazeNet) can be combined with the currently existing GGIF method. The efficiency of the software will be calculated by the use of a performance metric known as perceptual fog density. Keywords - Globally Guided Image Filtering, DehazeNet, Perceptual Fog Density