通信学报 ›› 2016, Vol. 37 ›› Issue (Z1): 132-139.doi: 10.11959/j.issn.1000-436x.2016259

• 学术论文 • 上一篇    下一篇

采用局部强度顺序模式的图像复制—粘贴篡改检测算法

林晶1,黄添强2,3(),林玲鹏2,3,李小琛1   

  1. 1 福建师范大学数学与计算机科学学院，福建 福州 350007
    2 福建师范大学软件学院，福建 福州 350007
    3 福建师范大学大数据分析与应用福建省高校工程研究中心，福建 福州 350007
  • 出版日期:2016-10-25 发布日期:2017-01-17
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;福建省高校产学合作科技重大基金资助项目;福州市科技计划基金资助项目;福建省高等学校新世纪优秀人才支持基金资助项目;福建省科学厅K类基金资助项目;福建省教育厅A类基金资助项目;福建师范大学研究生教育改革研究基金资助项目

Detection of image copy-move forgery using local intensity order pattern

Jing LIN1,Tian-qiang HUANG2,3(),Ling-peng LIN2,3,Xiao-chen1 LI1   

  1. 1 School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350007,China
    2 Faculty of Software,Fujian Normal University,Fuzhou 350007,China
    3 Fujian Provincial University Engineering Research Center of Big Data Analysis and Application,Fujian Normal University,Fuzhou 350007,China
  • Online:2016-10-25 Published:2017-01-17
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;Industry-University Coopera-tion Major Projects in Fujian Province;Science and Technology Program of Fujian;Program for New Century Excellent Talents in University in Fujian Province;The Science and Technology Department of Fujian Province K-Class Foundation Project;The Education Department of Fujian Province A-Class Foundation Project;The Graduate Education Reform Project of Fujian Normal University

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摘要：

复制—粘贴篡改是一种最简单而且常见的图像篡改方式。为了提高目前复制—粘贴篡改检测算法的顽健性，提出一种基于局部强度顺序模式(LIOP,local intensity order pattern)的图像复制—粘贴篡改检测算法。首先，提取待测图像的LIOP特征描述子，然后以特征描述子间的夹角余弦值作为相似性度量，根据最近邻与次近邻的比值阈值寻找稳定的匹配点，最后计算匹配点对间的空间距离以移除误匹配点。实验结果表明，所提算法能够有效检测并定位复制粘贴篡改位置，而且算法检测的准确率高，能够抵抗缩放、旋转、亮度变化以及高斯模糊、加性高斯白噪声、JPEG压缩等后期处理操作。

关键词: 图像篡改检测, 复制—粘贴篡改, 特征描述, 局部强度顺序模式

Abstract:

Copy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections,a new method based on local intensity order pattern was pro-posed.First,the LIOP feature descriptors were exacted from the inspected image.Then the angular cosine of feature de-scriptors were used to measure the similarity,and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor.Finally,the space distance of the matching points were calculated to remove the false matching points.Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area,but also have high accuracy and ro-bust to scaling,rotation,brightness change and some post-processing,such as Gaussian blur,additive white Gaussian noise and JPEG compression.

Key words: image tampering detection, copy-move forgery, feature description, local intensity order pattern

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