Dehazing Algorithm Using Wavelength Compensation to Improve Visibility in Foggy Images

Abstract: Images of outdoor scenes caught in adverse climatic conditions. Confined light sources frequently come about because of actuation of road lights and vehicle headlights in these conditions. Conventional art restoration strategies can't work with hazy images that included confined light sources and process is very delay. Therefore, a new method proposed which enhances the road scenes hazy images using wavelength compensation and de hazing algorithm. This algorithm worked based on the dark channel prior and depth map estimation. In contrast based techniques better visual perception of hazy images is accomplished by restoring the local contrast of hazy images. Here, the clarity of hazy images is increase by physically based techniques.. Atmospheric light and transmission map components are utilized to recover the scene objects from the degradation.

Keywords: color shift, dark channel prior, localized light, haze removal.