• Dr Chappa Ramesh
• Tanakala Sairanjani

Outdoor vision system are used in various applications such as tracking, surveillance also in navigation. Rain introduces difficulty to the outdoor vision system. Rain/Snow is one of the types of weather condition and major component for the dynamic bad weather condition. Due to the rain/snow the visual quality of an image goes down so it is necessary to remove this rain/snow. In this paper, we propose an efficient algorithm to remove rain or snow from a single color image. Our algorithm takes advantage of two popular techniques employed in image processing, namely, image decomposition and dictionary learning. The effectiveness of our algorithm is verified through both subjective (the visual quality) and objective (through rendering rain/snow on some ground-truth images) approaches, which shows a superiority over several state-of-the-art works. We propose adaptive histogram equalisation technique for image enhancement to obtain the better quality of the image after removal of snow and rain. The results obtained are processed in matlab.

Rain and Snow Removal, Guided Filter, Trained Dictionary

"ENHANCING SINGLE COLOUR IMAGE BY REMOVING RAIN OR SNOW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1045-1052, April-2020, Available :http://www.jetir.org/papers/JETIR2004142.pdf

"ENHANCING SINGLE COLOUR IMAGE BY REMOVING RAIN OR SNOW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1045-1052, April-2020, Available at : http://www.jetir.org/papers/JETIR2004142.pdf