A Novel Method For Haze Removal: A Dark Channel Prior Based Contrast Enhancement

Basic Haze removal methods are developed to adjust the saturation and contrast of an image which is fully covered by fog and moisture. These methods will enhance the quality of the reconstructed image, but eventually the removal of haze in this manner can change the luminance away from its ideal value. So haze removal involves a balance of improvement between luminance and contrast we improved an algorithm for haze removal as a luminance reconstruction scheme, in which an energy term is used to achieve favorable balance between luminance and contrast. The developed model based up on the luminance values for reconstructed image on statistical analysis of haze free images, there by achieving contrast values superior to those obtained using other methods for a given brightness level. We also developed a novel module for the estimation of atmospheric light using the color constancy method.