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Single Image Dehazing Using Dark Channel Prior With Median Filter and Contrast Enhancement

Aerosols such asdust particles, water droplets, haze, fog degraded the standard of an image taken by the camera. In many applications of an image such as a video surveillance system, a navigation application, remote sensing use image as an input. These images are affected by environmental pollution due to the scattering of aerosols. Image disorientated its standard and not suitable for the vision system. There is a need to restore the image taken as input to the vision system. There are a lot of techniques, which can restore the image as its natural content. Dark Channel Prior is a key attribute to the restoration of degrade image. In this paper we use DCP method and median filter to rectify the transmission map and use AGCWD (adaptive gamma correction with weighting distribution) to enhance the contrast of final dehaze image. On seeing this quality of an output image this method provide finer and efficient outcomes. For the quality evaluation of these outcomes we use different parameter PSNR, MSE and IE. We compare these results with existing algorithm.