A Novel Algorithm for Dehazing an Image

Abstract

Image dehazing plays a vital role in the field of image processing. Previously, many researchers have suggested many techniques like histogram equalization and gamma transformation in order to achieve the target. But these techniques have many limitations like different degree of polarization, different kind of weather conditions or depth information of pixel in image. The proposed work has tried to develop a more effective and reliable image quality assessment method that can evaluate the quality of the proposed dehazing algorithms. It proposed a robust method that is capable enough to improve the detection quality of hazed image by minimizing atmospheric haze effect by using local min operator to reduce time complexity. As compared to previous work it provides better results.