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基于统计特征和马尔可夫特征的图像拼接盲检测
引用本文:李哲,张爱新,金波,李生红.基于统计特征和马尔可夫特征的图像拼接盲检测[J].计算机科学,2010,37(7):277-279.
作者姓名:李哲  张爱新  金波  李生红
作者单位:1. 上海交通大学电子工程系,上海,200240
2. 上海交通大学信息安全与工程学院,上海,200240
3. 公安部第三研究所,上海,201204
基金项目:国家863项目,国家自然科学2007年上海市曙光计划项目,自然图像智能取证技术研究项目 
摘    要:数字图像真实性检测在司法鉴定等领域有着重要的作用.常见的图像拼接篡改会降低图像像素直接的相关性,这可以通过一些统计特征反映出来.采用特征提取-分类的方法,提取矩特征、基于二维相位一致性的统计特征,结合DCT域的马尔可夫特征,利用SVM分类器进行分类,实现了拼接图像的盲检测.实验结果表明,该方法有较好的鉴别准确率,可达91.75%.

关 键 词:拼接图像  矩特征  盲检测  图像特征  分类器
收稿时间:8/5/2009 12:00:00 AM
修稿时间:2009/10/19 0:00:00

Method for Image Splicing Detection Based on Statistical Features and Markov Feature
LI Zhe,ZHANG Ai-xin,JIN Bo,LI Sheng-hong.Method for Image Splicing Detection Based on Statistical Features and Markov Feature[J].Computer Science,2010,37(7):277-279.
Authors:LI Zhe  ZHANG Ai-xin  JIN Bo  LI Sheng-hong
Affiliation:(Dept. of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240,China),(School of Information Security, Shanghai Jiaotong University, Shanghai 200240,China), (The Third Research Institute of Ministry of Public Security, Shanghai 201204,China)
Abstract:The authenticity detection of digital images is of great significance in judicial identification. Image splicing is used very often as a falsification method and it will certainly decrease the correlation between image pixels which can be reflected by some statistical features. Combined with Markov features, a new approach which uses moment and phase congruency to extract features was proposed and SVM classifier was used to judge the category an image belongs to.The experimental results show that the proposed method can achieve a detection accuracy of 91. 75%.
Keywords:Spliced image  Moment feature  I31ind detection  Image features  Classifier
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