ABSTRACT
The presence of unwanted particles in the atmosphere, like haze, fog, mist, smoke, and water droplets, degrades the quality as well as the visibility of the image by diminishing the contrast. Haze affected images cause serious problems in several commercial and scientific areas. So, to regain the original quality from a haze affected image, dehazing methods are used. In this chapter, a dehazing technique is proposed and implemented using a Contrast Limited Adaptive Histogram Equalization and Guided Filter. The technique is tested on different outdoor hazy images, collected from the HazeRD dataset, with haze levels such as 50, 100, and 200. The proposed technique is effective as well as faster than other state-of-the-art methods as evidenced in the experimental results.
