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采用图像滤波的多特征JPEG盲检测
引用本文:韩杰思,沈建京. 采用图像滤波的多特征JPEG盲检测[J]. 电子科技大学学报(社会科学版), 2011, 0(2)
作者姓名:韩杰思  沈建京
作者单位:解放军信息工程大学理学院;
摘    要:提出了一种采用锐化滤波的多种特征相结合的JPEG盲检测算法。通过扩展DCT系数的马尔可夫矩阵提取块内相关性和块间相关性;引入锐化滤波来增强图像的边缘,加强了分块特性度量的效果;并使用Jessica的校准技术来估计原始图像,得到两个图像特征向量之差作为分类特征,提高了特征的敏感度;最后运用支持向量机进行训练和分类。使用大量图像对该算法的性能进行测试和比较,结果表明该算法在低嵌入率下优于其他算法。

关 键 词:盲检测  特征提取  滤波  图像处理  支持向量机  

Multi-Feature-Based Blind Steganalysis for JPEG Images Using Image Filter
HAN Jie-si , SHEN Jian-jing. Multi-Feature-Based Blind Steganalysis for JPEG Images Using Image Filter[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2011, 0(2)
Authors:HAN Jie-si    SHEN Jian-jing
Affiliation:HAN Jie-si and SHEN Jian-jing(Institute of Science,Information and Engineering University Zhengzhou 450001)
Abstract:A new multi-feature-based blind steganalysis scheme for JPEG images using sharpening filter is presented.In this scheme,the Markov matrix is extended to distill the intra-block correlations and the inter-block correlations;the sharpening filter is adopted to enhance the image edge;the Jessica's calibration technique is used to estimate original image and construct feature vectors;and the support vector machine classifier is applied to get results at last.Many images are tested and compared.Experimental resu...
Keywords:blind steganalysis  feature extraction  filter  image processing  support vector machine  
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