• G.Pavani
• K.Sravan Kumar

Detection of rain streaks and snow flakes is removing of rain drops and ice crystals present in the single color image. We introduce one new algorithm based on median guided filter, in this proposed method first detection of rain streaks or snow flakes will take place to locate the course pixels. To decompose the image further we are using median guided filter is very effective than the normal guided filter It will smoothens the image so that noise was reduced. Further to retain the image details from high frequency part sparse coding based on online dictionary learning to extract the image details. It is more efficient and takes less time for processing. To detect the people we use histogram of oriented gradient (HOG) with a combination of state vector machine (SVM) in proposed method. To enhance the visual quality of an image histogram stretching is used to reduce the complexity of an existing method. Finally we measure the PSNR and SSIM values to show the difference between existing and the proposed method.

rain removal, median guided image filter, online dictionary learning with sparse coding.

"Detection and removal of rain streaks or snowflakes in a single color image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.655-659, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z89.pdf

"Detection and removal of rain streaks or snowflakes in a single color image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp655-659, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z89.pdf