保持结构的双边纹理滤波

Chengfang Song, Chunxia Xiao
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引用次数: 2

摘要

从具有复杂纹理模式的图像中提取有意义的结构具有挑战性,因为很难将结构与相似规模或强度对比的纹理分开。本文提出了一种保持结构的双边纹理滤波算法,在保持优势结构的同时使纹理平坦化。我们设计了一个新的方案,双尺度补丁切换。即使用两种尺度的patch来表示像素,位于结构边缘的像素较小,位于纹理区域的像素较大,然后对每个像素估计DASM (Directional Anisotropic structure Measurement),以确定哪一种类型的patch来表示它。该算法基于联合双边滤波框架,具有快速、简便、有效的自适应滤波效果。特别是,我们的方法在保存小结构方面优于以前的方法。该方法取得了良好的结果,证明了其有效性和高效性。
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Structure-Preserving Bilateral Texture Filtering
Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture of similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to flatten texture while preserving dominant structures. We design a new scheme, dual-scale patch toggle. That is, patches of two scales are used to represent pixels, the smaller for pixels located at structure edges and the bigger for pixels in texture regions, and then DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to determine which type of patch to represent it. The algorithm is based on the joint bilateral filtering framework, 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.
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