Visual Model Based Single Image Dehazing Using Artificial Bee Colony Optimization
S MohamedMansoorRoomi · International Journal of Information Sciences and Techniques · 2012
Images are often degraded by atmospheric haze , a phenomenon due to the particles in the air that scatter light.Haze induces a loss of contrast,its visual effect is blurring of distant objects.This paper presents a novel algorithm for improving the visibility of an image degraded by haze.The proposed method uses a cost function based on human visual model to estimate airlight map.It employs Artificial Bee Colony optimization (ABC) as the optimization technique for estimating air light map.Image is dehazed by removing the estimatedairlight from the degraded image.The performance of the algorithm is tested and compared with various other dehazing methods and the proposed algorithm dehazes the image effectively outperforming other methods.