Gradient Domain Weighted Guided Image Filtering
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As an excellent local filter, guided image filters are subject to halo artifacts. In this paper, the algorithm uses gradient information to accurately determine the edge of the image, and uses the weighted information to further accurately distinguish the flat area and edge area of the image. As a result, the edges of the image are sharper and the level of blur in flat areas is reduced, avoiding halo artifacts caused by excessive blurring near edges. Experiments show that the proposed algorithm can better suppress halo artifacts at the edges. The proposed algorithm has good performance in both image denoising and image detail enhancement.
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