Single Image Haze Removal with Nonlinear Complex Diffusion Process

Abstract

Hazy image enhancement is one of the challenging fields in the area of image processing because the presence of haze reduces the visibility of outdoor images. In recent years, various algorithms have been introduced to remove haze. Most of the algorithms remove haze but hardly enhance the image with better contrast. In this paper, we have proposed an effective method for removing haze from the image. The main benefit of our method is that it dehazes image as well as preserves ramp edges providing better contrast of the image. The qualitative and quantitative comparison among few states of the art methods have been performed which show that our method gives better output images compared to those methods.