| 基于马尔科夫和HHT的图像拼接盲检测 |
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| 引用本文： | 于振华,金波,陈璐艺,李生红.基于马尔科夫和HHT的图像拼接盲检测[J].信息安全与通信保密,2010(1):107-108,112. |
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| 作者姓名： | 于振华 金波 陈璐艺 李生红 |
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| 作者单位： | 1. 上海交通大学电子工程系,上海,200240
2. 公安部第三研究所,上海,200031 |
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| 基金项目： | 国家自然科学基金，教育部新世纪优秀人才支持计划，国家高技术研究发展计划(863计划)，上海市曙光计划基金 |
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| 摘 要： | 基于对图像拼接技术的分析,提出了一种基于马尔科夫模型与Hilbert-Huang变换（HHT）的图像拼接盲检测算法。该算法计算图像DCT域上的马尔科夫转移概率矩阵,同时对图像进行Hilbert-Huang分析,得到两类特征值集,并通过计算相关系数矩阵分析了两者之间的相关性,最后使用支持向量机进行训练与分类。实验结果表明,相对于已有文献,该算法具有较高的检测准确率。
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| 关 键 词： | 图像拼接检测 马尔科夫模型 希尔伯特-黄变换 支持向量机 |
Blind Detection of Image Splicing Based on Markov Model and Hilbert-Huang Transform |
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| YU Zhen-hua,JIN Bo,CHEN Lu-yi,LI Sheng-hong.Blind Detection of Image Splicing Based on Markov Model and Hilbert-Huang Transform[J].China Information Security,2010(1):107-108,112. |
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| Authors: | YU Zhen-hua JIN Bo CHEN Lu-yi LI Sheng-hong |
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| Affiliation: | YU Zhen-hua1,JIN Bo2,CHEN Lu-yi1,LI Sheng-hong1 (1Dept.of Electronic Engineering,Shanghai Jiaotong University,Shanghai 200240,China,2The Third Research Institute,Ministry of Public Security,Shanghai 200031,China) |
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| Abstract: | In order to blindly detect the image splicing, a new image splicing blind detection approach based on the Markov model and Hilbert-Huang transform is proposed. This new model consists of two groups of features extracted from the Markov transition probability matrix of the image DCT arrays and the Hilbert-Huang Transform of the image. The correlation coefficient matrix is utilized to analyze the correlation between these two groups of features. Support Vector Machine is used to train the features extracted f... |
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| Keywords: | image splicing detection Markov model Hilbert-Huang transform(HHT) support vector machine(SVM) |
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