Weighted Guided Image Filtering – A Survey
نویسندگان
چکیده
منابع مشابه
Weighted Guided Image Filtering – A Survey
It is well-known that local filtering-based edge preserving smoothing method suffers from halo artifacts. In this paper, a weighted guided image filter is introduced by incorporating an edge-aware weighting into an accessible guided image filter to address the problem. The WGIF inherit benefits of both global and local smoothing filters in the sense that: 1) the difficulty of the WGIF is O(N) f...
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In this paper a weighted guided image filter (WGIF) is being proposed incorporating an edge-aware weighting technique into the guided image filter (GIF). The WGIF preserves sharp edges as well as existing global filters, and the intricacy of the WGIF is O(N) for an image with N pixels which is almost the same as the GIF. As WGIF is simple, it has numerous applications in the fields of computati...
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Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing both blurring and over-sharpening of visually important edges. Here we present the Alternating Guided Filter (AGF) that achieves...
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The process of using one image to guide the filtering process of another one is called Guided Image Filtering (GIF). The main challenge of GIF is the structure inconsistency between the guidance image and the target image. Besides, noise in the target image is also a challenging issue especially when it is heavy. In this paper, we propose a general framework for Robust Guided Image Filtering (R...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016912541