Removal of Artifacts Based on Weighted Guided Filtering For Digital Video Quality Enhancement

Abstract

It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. Local filter cannot preserve sharp edges when compared to global filters. Such that, halo artifacts are usually produced when local filters adopt to smooth edges.In this paper, weighted guided image filter (WGIF) is proposed by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. The WGIF is  used to adopts both the advantages of global and local smoothing filters in the sense that: 1) the complexity of the WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid halo artifacts like the existing global smoothing filters. The WGIF is applied for single image detail enhancement, single image haze removal, and fusion of differently exposed images. Experimental results shows that the resultant image produces better visual quality by reducing/avoiding the halo artifacts to zero. The extension work is performed on videos, where this video consists of no. of frames. Each frame is converted into image. Every image is filtered by WGIF technique to avoid halo artifacts and to reduce the complexity. After then each image is again converted into frame and then video. The improved quality of video is shown in below results.