Weighted guided image filtering for image enhancement
Rajasekhar Karumuri, Sangu Aruna Kumari · 2017
Digital image processing helps to achieve good process in various research fields but still enhancing the degraded content to normal content is concerned area. Image enhancement attains attention due to its high application applicability. We present a weighted guided image filtering to improve filtering and avoid halo artifacts. We realized that the previously utilized local filtering based edge preserving smoothening filter nothing but guided image filter (GIF) experiences halo artifacts. To conquer this issue we proposed method called WGIF method. This method is introduced by joining an edge-aware weighted into an existing guided image filter. WGIF scheme yields low intricacy O(N) as local smoothing filter (GIF) and preserve the sharp gradient information like global smoothing filter. The WGF is applied for single image detail enhancement and single image haze removal.