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基于双边纹理滤波的图像细节增强方法

郝志成 吴川 杨航 朱明

郝志成, 吴川, 杨航, 朱明. 基于双边纹理滤波的图像细节增强方法[J]. 中国光学, 2016, 9(4): 423-431. doi: 10.3788/CO.20160904.0423
引用本文: 郝志成, 吴川, 杨航, 朱明. 基于双边纹理滤波的图像细节增强方法[J]. 中国光学, 2016, 9(4): 423-431. doi: 10.3788/CO.20160904.0423
HAO Zhi-cheng, WU Chuan, YANG Hang, ZHU Ming. Image detail enhancement method based on multi-scale bilateral texture filter[J]. Chinese Optics, 2016, 9(4): 423-431. doi: 10.3788/CO.20160904.0423
Citation: HAO Zhi-cheng, WU Chuan, YANG Hang, ZHU Ming. Image detail enhancement method based on multi-scale bilateral texture filter[J]. Chinese Optics, 2016, 9(4): 423-431. doi: 10.3788/CO.20160904.0423

基于双边纹理滤波的图像细节增强方法

doi: 10.3788/CO.20160904.0423
基金项目: 

国家自然科学基金资助项目 No.61401425

详细信息
    作者简介:

    郝志成(1978-),男,辽宁营口人,副研究员,2007年于中国科学院长春光学精密机械与物理研究所获得博士学位,主要从事信号检测、数字图像处理、模式识别方面的研究。E-mail:hzc972513@tom.com

    通讯作者:

    杨航(1985-),男,吉林农安人,博士,助理研究员,2009年、2012年于吉林大学分别获得硕士、博士学位,主要从事图像复原、图像融合、模式识别等方面的研究。E-mail:yhang3109@163.com

  • 中图分类号: TP394.1

Image detail enhancement method based on multi-scale bilateral texture filter

Funds: 

Supported by National Natural Science Foundation of China No.61401425

More Information
  • 摘要: 为了实现图像的细节增强,特别是纹理细节增强,同时尽可能保持图像的结构完整,提出了一种基于双边纹理滤波的图像多尺度分解方法。首先,对图像进行多尺度双边纹理滤波分解,分别得到一幅基本图像和一系列细节纹理图像。接着,类似于小波增强方法,对细节图像采用多尺度自适应增强方法,得到一系列增强后的纹理细节图像。最后,将基本图像和增强后细节图像相加,重构出最后的增强图像。实验结果表明:本文提出的增强方法能够在突出边缘的同时,较好地增强图像中的纹理细节信息。将基于双边纹理滤波的多尺度分解引入图像增强,能更好地体现图像纹理细节特征,为增强图像提供更加丰富的信息。
  • 图  1  双边纹理滤波处理效果图

    Figure  1.  Overall process and intermediate images of our bilateral texture filtering

    图  2  3级多尺度分解果图

    Figure  2.  Three levels multi-scale decomposition

    图  3  变换函数f(x)图示,其中b=0.25,c=40

    Figure  3.  Plot of transform function f(x) when b=0.25 and c=40

    图  4  “Barbara”图像增强效果

    Figure  4.  Results of the “Barbara” images using different methods

    图  5  “Breast”医疗图像增强效果

    Figure  5.  Results of the “Breast” images using different methods

    图  6  “Magenta”图像增强效果

    Figure  6.  Results of the “Magenta” images using different methods

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出版历程
  • 收稿日期:  2016-02-26
  • 修回日期:  2016-04-19
  • 刊出日期:  2016-08-01

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