Haze in images is due to natural environmental phenomena, which makes the image in a white shade noise. Haze
removal is one of the most important research topics these days to due popularity of applications in real time surveillance from
drones or any area under security. Both indoor and outdoor images are important for testing haze and its removal. Many image
processing techniques are made by researchers to remove haze in a single image. Haze intensity can be calculated by a
parameter known as perceptual fog density (PFD). It is important to analyze this parameter for all the techniques so as to get an
idea of improvement. In this paper , a new approach is made by applying globally guided filtering technique with deep neural
network. This proposed algorithm is implemented on MATLAB software and results are obtained by calculating the PFD in the
existing and proposed technique
