| 基于非抽样Contourlet变换的图像模糊取证 |
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| 引用本文： | 王俊文,刘光杰,戴跃伟,张湛,王执铨.基于非抽样Contourlet变换的图像模糊取证[J].计算机研究与发展,2009,46(9). |
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| 作者姓名： | 王俊文 刘光杰 戴跃伟 张湛 王执铨 |
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| 作者单位： | 南京理工大学自动化学院,南京,210094 |
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| 基金项目： | 国家自然科学基金项目，江苏省自然科学基金项目，中国博士后基金项目，江苏省"青蓝工程"中青年学术带头人培养基金 |
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| 摘 要： | 数字图像被动盲取证技术是对图像的完整性和真实性进行鉴别.图像遭受篡改操作后,为了消除图像伪造在拼接边缘产生畸变,伪造者通常会采用后处理消除伪造痕迹,其中,模糊操作是最常用的手法之一.因此提出了一种针对人工模糊的取证方法.首先,利用非抽样Contourlet变换分析图像边缘点特征进行边缘点分类;然后通过统计正常边缘点与模糊边缘点之间的差异鉴别模糊边缘;最后引入局部清晰度来区分人工模糊与离焦模糊,从而最终标定人工篡改边缘痕迹.实验表明该方法能够有效地检测出图像人工模糊篡改操作,较为准确地定位图像篡改边界.伪造图像边缘模糊越严重方法的检测效果越好.与其他模糊检测方法相比所提方法具有像素级别定位能力.
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| 关 键 词： | 图像取证 篡改 人工模糊 非抽样Contourlet 局部清晰度 |
Image Forensics for Blur Detection Based on Nonsubsampled Contourlet Transform |
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| Wang Junwen,Liu Guangjie,Dai Yuewei,Zhang Zhan,Wang Zhiquan.Image Forensics for Blur Detection Based on Nonsubsampled Contourlet Transform[J].Journal of Computer Research and Development,2009,46(9). |
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| Authors: | Wang Junwen Liu Guangjie Dai Yuewei Zhang Zhan Wang Zhiquan |
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| Affiliation: | School of Automation;Nanjing University of Science & Technology;Nanjing 210094 |
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| Abstract: | Digital image passive blind forensics aim to distinguish the integrity and authenticity of digital images.After the image is tampered,in order to eliminate the visual edge distortion caused by splicing during the process of forgery,some post-processing operations are usually utilized to eliminate the tampering traces.For example,manual blurring is one of the common approaches.Based on this condition,a method which can detect manual blurring from the tampered image is proposed.Firstly,the features of the ima... |
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| Keywords: | image forensics tampering manual blurring nonsubsampled contourlet local definition |
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