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Edge guidance filtering for structure extraction
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DOI：10.1007/s00371-022-02662-4.png)
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摘要
En 中文
Smoothing the multiscale, irregular, and high contrast textures while maintaining structures with small details is challenging for the existing texture filtering methods. In this paper, we put forward a novel edge guidance-based texture filter with an adaptive kernel scale scheme to address these challenges. The texture edges are identified by a texture edge detector first. Then, based on the texture edges, a variable per-pixel smoothing scale is selected to construct the scale map, which is used to guide the filtering. In the end, a novel pixel-selected filter is designed as post-processing to optimize the filtered images. The experimental results compared with the state-of-the-art methods show that our method has a better performance in suppressing different forms of textures while maintaining the main structure. In addition, our method can be applied well in a variety of image processing applications including: detail enhancement, inverse halftoning, virtual contour restoration and texture image segmentation.
Keyword:
Guided filtering
Texture filtering
Adaptive kernel scale scheme
Texture edges
Pixel-selected filter
期刊
IF:
2.9
论文数:
4.6K
被引数:
6.5K
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