计算机应用 ›› 2018, Vol. 38 ›› Issue (5): 1415-1419.DOI: 10.11772/j.issn.1001-9081.2017102589

• 虚拟现实与多媒体计算 • 上一篇    下一篇

自适应尺度的双边纹理滤波方法

王辉1, 王悦1, 刘畅祖1, 庄珊娜1, 曹俊杰2   

  1. 1. 石家庄铁道大学 信息科学与技术学院, 石家庄 050043;
    2. 大连理工大学 数学科学学院, 辽宁 大连 116024
  • 收稿日期:2017-10-31 修回日期:2017-12-13 出版日期:2018-05-10 发布日期:2018-05-24
  • 通讯作者: 王辉
  • 作者简介:王辉(1983-),男,河北石家庄人,副教授,博士,CCF会员,主要研究方向:图形图像处理;王悦(1992-),女,河北石家庄人,硕士研究生,CCF会员,主要研究方向:图形图像处理;刘畅祖(1994-),男,河北石家庄人,硕士研究生,主要研究方向:图形图像处理;庄珊娜(1985-),女,河南三门峡人,副教授,博士,CCF会员,主要研究方向:电磁计算、自适应雷达波形优化;曹俊杰(1977-),男,山东牟平人,讲师,博士,CCF会员,主要研究方向:图像处理、机器学习。
  • 基金资助:
    国家自然科学基金资助项目(61402300,61363048,61572099,61772104);河北省优秀青年科学基金资助项目(F2018210100);中央高校基本科研业务费专项(DUT16QY02);石家庄铁道大学优秀青年科学基金资助项目。

Adaptive scale bilateral texture filtering method

WANG Hui1, WANG Yue1, LIU Changzu1, ZHUANG Shanna1, CAO Junjie2   

  1. 1. School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang Hebei 050043, China;
    2. School of Mathematical Sciences, Dalian University of Technology, Dalian Liaoning 116024, China
  • Received:2017-10-31 Revised:2017-12-13 Online:2018-05-10 Published:2018-05-24
  • Contact: 王辉
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61402300, 61363048, 61572099, 61772104), the Excellent Young Scholar Fund of Hebei Province (F2018210100), the Fundamental Research Funds for the Central Universities (DUT16QY02), the Excellent Young Scholar Fund of Shijiazhuang Tiedao University.

摘要: 目前已有的结构保持的纹理平滑方法主要是利用矩形片内的统计量来区分纹理和结构,但是所用的矩形片边长是单一尺度的,这将导致含有尖锐结构或结构在多个尺度上的图像出现纹理过平滑或未平滑的现象。为此,提出一种自适应尺度的双边纹理滤波方法。首先,通过对局部区域进行统计分析,从给定候选值中自适应地为每个像素选取合适的矩形片边长,对于均匀的纹理区域,选取较大的矩形片边长,对于邻近特征边的区域选取较小边长;其次,利用自适应的矩形片边长计算引导图像;最后,对原始图像进行引导双边滤波。实验结果表明,所提方法能够在保持图像结构的同时更好地平滑纹理。

关键词: 纹理平滑, 结构保持, 自适应尺度, 引导双边滤波

Abstract: Almost all of existing works on structure-preserving texture smoothing utilize the statistical features of pixels within local rectangular patches to distinguish structures from textures.However, the patch sizes of the rectangular regions are single-scale, which may lead to texture over-smoothed or non-smoothed for images with sharp structures or structures at different scales. Thus, an adaptive scale bilateral texture filtering method was proposed. Firstly, the patch size of rectangular region for each pixel was chosen adaptively from some given candidate sizes based on statistical analysis of local patches, where larger patch sizes were chosen for the homogeneous texture regions and smaller ones for regions near the structure edges. Secondly, guided image were computed via the adaptive patch sizes. Finally, the guided bilateral filtering was operated on the original image. The experimental results demonstrate that the proposed method can better preserve image structures and smooth textures.

Key words: texture smoothing, structure-preserving, adaptive scale, guided bilateral filtering

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