Guided image filtering ppt

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1 Feb 2017 The guided image filter is based on a local linear model. The guided filter delivers the filtering output by considering a reference image. Abstract: In this paper a weighted guided image filter (WGIF) is being proposed incorporating an edge-aware weighting technique into the guided image filter filters (Bilateral filters), and guided image filtering algorithms based in terms of weakness even makes the linear filtering can?t adapt to de noise an image. IEEE Trans Pattern Anal Mach Intell. 2013 Jun;35(6):1397-409. doi: 10.1109/TPAMI.2012.213. Guided image filtering. He K(1), Sun J, Tang X. Author informationAdvanced Uses of Bilateral Filters. Advanced Uses for Bilateral. A few clever, exemplary applications Flash/No Flash Image Merge (Petschnigg2004 Derived from a local linear model, the guided filter generates the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The kernels of LTI filters are spatially invariant and independent of any image content. Guided Filter is included in Wikipedia as a representative edge-preserving smoothing In this paper we propose a novel explicit image filter called guided filter. Guided Image Filtering. Kaiming He. Jian Sun. Xiaoou Tang. The Chinese University of Hong Kong. Microsoft Research Asia. The Chinese University of Hong What is Guided Image Filtering? The imguidedfilter function performs edge-preserving smoothing on an image, using the content of a second image, called a guidance image, to influence the filtering. The guidance image can be the image itself, a different version of the image, or a completely different image.