Air Light Estimation Algorithm by using Fuzzy based Dark Channel Prior

The unwanted environmental circumstances decrease the visibility and hidden information of theremotely sensed images. Since visibility is a significant quality issue in these images, thus, visibilityimprovement methods are necessary for improving the significant details of remotely sensed images. Thispaper has proposed a novel technique for improving the visibility of outdoor images. Theproposed method produces efficient results by using fuzzy filter based dark channel prior. The fuzzy filter can automatically extract the local atmospheric light and roughly eliminate theatmospheric veil in local detail enhancement. The proposed technique is designed and implemented usingin MATLAB with the help of image processing toolbox. The qualitative results have clearly show that theproposed image enhancement technique can preserve significant detail of the original image.