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JPEG图像双重压缩偏移量估计的篡改区域自动检测定位

DOI: 10.11834/jig.20151003

Keywords: JPEG图像,双重压缩,偏移量估计,区域复制,篡改检测

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Abstract:

目的为了解决现有图像区域复制篡改检测算法只能识别图像中成对的相似区域而不能准确定位篡改区域的问题,提出一种基于JPEG(jointphotographicexpertsgroup)图像双重压缩偏移量估计的篡改区域自动检测定位方法。方法首先利用尺度不变特征变换(SIFT)算法提取图像的特征点和相应的特征向量,并采用最近邻算法对特征向量进行初步匹配,接下来结合特征点的色调饱和度(HSI)彩色特征进行优化匹配,消除彩色信息不一致引发的误匹配;然后利用随机样本一致性(RANSAC)算法对匹配对之间的仿射变换参数进行估计并消除错配,通过构建区域相关图确定完整的复制粘贴区域;最后根据对复制粘贴区域分别估计的JPEG双重压缩偏移量区分复制区域和篡改区域。结果与经典SIFT和SURF(speededuprobustfeatures)的检测方法相比,本文方法在实现较高检测率的同时,有效降低了检测虚警率。当第2次JPEG压缩的质量因子大于第1次时,篡改区域的检出率可以达到96%以上。结论本文方法可以有效定位JPEG图像的区域复制篡改区域,并且对复制区域的几何变换以及常见的后处理操作具有较强的鲁棒性。

References

[1]  Fridrich J, Soukalm D, Lukas J. Detection of copy-move forgery in digital images [C]//Proceedings of Digital Forensic Research Workshop. Cleveland, OH, USA: 2003: 55-61.
[2]  Huang Y P, Lu W, Sun W, et al. Improved DCT-based detection of copy-move forgery in images [J]. Forensic Science International, 2011, 206(1-3): 178-184. [DOI: 10.1016/J. FORSCIINT. 2010.08.001 ]
[3]  Cao Y J, Gao T G, Fan L, et al. A robust detection algorithm for copy-move forgery in digital images [J]. Forensic Science International, 2012, 214(1-3): 33-43.[DOI: 10.1016/J. FORSCIINT. 2011.07.015 ]
[4]  Zhao J, Guo J C. Passive forensics for copy-move forgery using a method based on DCT and SVD [J]. Forensic Science International, 2013, 233(1-3): 158-166.[DOI: 10.1016/J. FORSCIINT. 2013.09.013 ]
[5]  Luo W Q, Huang J W, Qiu G P. Robust detection of region-duplication forgery in digital image [C]// Proceedings of International Conference on Pattern Recognition. Piscataway, NJ: IEEE, 2006, 746-749.[DOI: 10.1109/ICPR.2006.1003 ]
[6]  Huang H L, Guo W Q, Zhang Y. Detection of copy-move forgery in digital images using SIFT algorithm [C]// Proceedings of IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application. Piscataway, NJ: IEEE, 2008, 272-276.[DOI: 10.1109/PACIIA.2008.240 ]
[7]  Lowe D. Distinctive image features from scale-invariant key points [J]. International Journal of Computer Vision, 2004, 60(2): 91-110.[DOI: 10.1023/B:VISI. 0000029664. 99615. 94]
[8]  Amerini I, Ballan L, Caldelli R, et al. A SIFT-based forensic method for copy-move attack detection and transformation recovery[J]. IEEE Transactions on Information Forensics and Security, 2011(6): 1099-1110.[DOI: 10.1109/TIFS. 2011. 2129512 ]
[9]  Xu B, Wang J W, Liu G J. Image copy-move forgery detection based on SURF [C]//Proceedings of International Conference on Multimedia Information Networking and Security. Piscataway, NJ: IEEE, 2010: 889-892.[DOI: 10.1109/MINES. 2010. 189]
[10]  Bay H, Ess A, Tuytelaars T. SURF: speeded up robust features [J].Computer Vision and Image Understanding, 2008, 110(3): 346-359.[DOI: 10.1016/J.CVIU.2007.09.014 ]
[11]  Pan X, Lyu S. Region duplication detection using image feature matching [J]. IEEE Transactions on Information Forensics and Security, 2010(5): 857-867.[DOI: 10. 1109/TIFS. 2010. 2078506 ]
[12]  Zhao Y Q, Chen Y, Li X H, et al. A novel detection method of copy-move forgery in JPEG images [J]. Journal of Central South University: Science and Technology, 2012,43(10): 3964-3970. [赵于前, 陈瑜, 李香花,等. 一种新的复制-移动篡改JPEG图像探测方法 [J].中南大学学报:自然科学版, 2012,43(10): 3964-3970.]
[13]  Luo W, Qu Z, Huang J. A novel method for detecting cropped and recompressed image blocks [C]// Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ: IEEE, 2007: 217-220. [DOI: 10.1109/ICASSP.2007.366211 ]
[14]  Wu J, Cui Z, Sheng V, et al. A comparative study of SIFT and its variants [J]. Measurement Science Review, 2013, 13(3): 122-131. [DOI: 10.2478/MSR-2013-0021 ]
[15]  Mikolajczyk K, Schmid C. A performance evaluation of local descriptors [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1615-1630.[DOI: 10.1109/TPAMI.2005.188 ]
[16]  Wu L Y, Kong X W, Wang B, et al. Image tampering localization via estimating the non-aligned double JPEG compression [C]//Proceedings of SPIE Media Watermarking, Security, and Forensics. Bellingham,WA: SPIE, 2013:#866650[DOI: 10.1117/12.2003695 ]
[17]  McGill Calibrated Color Image Database [EB/OL]. 2004-01-01[2015-03-20].http://tabby.vision.mcgill.ca/
[18]  Kodak Lossless True Color Image Suite [EB/OL].1999-11-15[2013-01-27]. http://r0k.us/graphics/kodak/

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