Structure-preserving texture filtering for adaptive image smoothing

Chengfang Song , Chunxia Xiao , Xuefei Li , Jing Li , Haigang Sui
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引用次数: 13

Abstract

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.

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用于自适应图像平滑的保结构纹理滤波
从具有复杂纹理图案的图像中提取有意义的结构是具有挑战性的,因为很难将具有相似尺度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滤波算法,以在保留显著结构的同时平滑纹理。我们设计了一个双尺度的补丁切换方案。也就是说,使用两个尺度的补丁来交替表示像素,较小的补丁用于位于结构边缘的像素,较大的补丁用于纹理区域的像素,并估计每个像素上的DASM(定向各向异性结构测量)来为其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,因此速度快,易于实现,但对自适应图像平滑有效。特别是,我们的方法在保留小结构方面优于以前的方法。该方法取得了良好的效果,说明了其有效性和效率。
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来源期刊
Journal of Visual Languages and Computing
Journal of Visual Languages and Computing 工程技术-计算机:软件工程
CiteScore
1.62
自引率
0.00%
发文量
0
审稿时长
26.8 weeks
期刊介绍: The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.
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