Improved single image and video dehazing using morphological operation

In the hazy days, the contrast is reduced by the distance, which obstruct the outdoor surveillance system from working properly. In this paper, we present an effective approach for defogging the images and videos based on filtering method. We first obtain an initial atmospheric scattering light by using gray scale morphological operation and refine it using guided filter. Finally the scene radiance is corrected using the visibility restoration model. The experimental results demonstrated that this method can effectively remove the bad weather condition and enhance the contrast of the input images. The use of gray scale morphological operation of these images makes our approach faster and it takes only 80% of the time in execution as compared with the fast bilateral filter. Present algorithm, due to its speed and ability to improve visibility, can be used in many systems, ranging from tracking and navigation, surveillance, consumer electronics, intelligent vehicles to remote sensing.