Vision Improvement in Automated Cars by Image Deraining
Lokesh babu Gangula, Geedikanti Srikanth, Naveen Cheggoju, Vishal R. Satpute · 2018
Driving cars in rainy situations lead to many accidents. This is the major issue with the automated cars and hence they are not promoted a lot. So in order to enhance the safety measure, we implemented this work of removing the rain components from a captured image during rainy situations. The rain components are removed from that image based on the rain characteristics. The colored image is divided into high frequency and low-frequency parts so that the high-frequency part consists of most of the rain components. Then by using Dictionary learning method the rain components are extracted from the high-frequency part. To extract more non-rain details we use Sensitivity of variance of color channels(SVCC).Finally, the non-rain component part and low-frequency part are combined to get the image without rain.