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Structure-preserving texture filtering for adaptive image smoothing

机译:保留结构的纹理过滤用于自适应图像平滑

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Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture with similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to smooth texture while preserving salient structures. We design a dual-scale patch toggle scheme. That is, two-scale patches are exploited to represent pixels alternatively, the smaller ones for pixels located at structure edges and the bigger ones for pixels in textural regions, and DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to select which type of patch for it. Our algorithm is based on the framework of joint bilateral filtering, so it is fast, easy to implement, yet effective for adaptive image smoothing. In particular, our approach outperforms previous methods in terms of preserving small structures. The proposed method achieves excellent results that illustrate its effectiveness and efficiency. (C) 2018 Elsevier Ltd. All rights reserved.
机译:从具有复杂纹理图案的图像中提取有意义的结构具有挑战性,因为很难将具有相似比例或强度对比度的结构与纹理分离。在本文中,我们提出了一种保留结构的双边纹理过滤算法,以在保留显着结构的同时平滑纹理。我们设计了一个双尺度补丁切换方案。也就是说,利用两尺度补丁来交替表示像素,对于位于结构边缘的像素,较小的补丁,对于纹理区域中的像素,较大的补丁,并且估计每个像素上的DASM(方向各向异性结构测量)以选择哪种类型的补丁。我们的算法基于联合双边滤波的框架,因此它快速,易于实现,但对自适应图像平滑有效。特别是,在保留小型结构方面,我们的方法优于以前的方法。该方法取得了很好的结果,说明了其有效性和效率。 (C)2018 Elsevier Ltd.保留所有权利。

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