Structure-preserving texture filtering for adaptive image smoothing

被引:11
|
作者
Song, Chengfang [1 ]
Xiao, Chunxia [1 ]
Li, Xuefei [1 ]
Li, Jing [1 ]
Sui, Haigang [2 ]
机构
[1] Wuhan Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China
关键词
Image smoothing; Texture filtering; Structure measurement;
D O I
10.1016/j.jvlc.2018.02.002
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:17 / 23
页数:7
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