A Visibility Restoration Framework for rainy images by using Lo gradient minimization and Bilateral Filtering

Abstract

In this paper we proposed an algorithm for the visibility restoration of color rainy images. Rain drops affect the visual impact on image so that the visibility and intensity of the captured images are very low. We use a L0 gradient minimization technique for removing the rain pixels. L0 gradient minimization technique globally control the non zero gradient, so that low amplitude and insignificant detail are diminished but salient edges of the images are preserved. First we apply this refining illumination techniques on our rainy image for removing the rain and Secondly we apply a bilateral filtering for smoothing the color image for human perception. The quantitative results of proposed algorithm and other existing rainy algorithms for color rainy images are obtained in terms peak to peak signal to noise ratio (PSNR), universal image quality index(UIQI) and structure similarity index measurement (SSIM) and on different color rainy images from databases. The visual quality of the proposed algorithm also better than other existing rainy algorithms. Finally, the simulation result shows that the proposed algorithm is highly effective and efficient for visibility restoration of rainy images. � 2018 IEEE.