[ "王波(1981-),男,四川自贡人,大连理工大学副教授,主要研究方向为数字图像取证、信息隐藏与信息隐藏分析。" ]
[ "殷建峰(1994-),女,山西太原人,大连理工大学本科生,主要研究方向为数字图像取证。" ]
[ "李亚宾(1994-),男,河南漯河人,大连理工大学硕士生,主要研究方向为数字图像取证。" ]
网络首发:2016-09,
纸质出版:2016-09-15
移动端阅览
王波, 殷建峰, 李亚宾. JPEG压缩对相机型号来源取证的影响分析[J]. 网络与信息安全学报, 2016,2(9):65-71.
Bo WANG, Jian-feng YIN, Ya-bin LI. Performance evaluation for JPEG compression on model-based source camera identification[J]. Chinese Journal of Network and Information Security, 2016, 2(9): 65-71.
王波, 殷建峰, 李亚宾. JPEG压缩对相机型号来源取证的影响分析[J]. 网络与信息安全学报, 2016,2(9):65-71. DOI: 10.11959/j.issn.2096-109x.2016.00100.
Bo WANG, Jian-feng YIN, Ya-bin LI. Performance evaluation for JPEG compression on model-based source camera identification[J]. Chinese Journal of Network and Information Security, 2016, 2(9): 65-71. DOI: 10.11959/j.issn.2096-109x.2016.00100.
针对实际取证场景中经网络传输的 JPEG 压缩图像,分析了基于彩色滤波阵列(CFA)插值系数特征、局部二进制模式(LBP)以及图像质量(IQM)和高阶小波统计特征这3种典型的相机型号来源取证方法的性能,评估了社交平台和网络媒体情况下已有来源取证算法的性能。实验结果表明,随着图像压缩质量的下降,相机型号来源鉴别准确率迅速下降,已有方法在实际应用中的性能仍然有待提高。
Focusing on JPEG images transferred by social platform and network media from actual forensic cases
quantities of simulation experiments were carried out to evaluate the performance of three typical methods of model-based source camera identification.The methods are based on the feature of interpolation coefficients of color filter array(CFA)
local binary pattern(LBP)
and image quality measurement(IQM)with high-order wavelet statis-tic features.The experiments demonstrate that the accuracy decreases rapidly with the compression quality of im-ages decreasing.As a result
methods of model-based source camera identification currently used are demanded bet-ter performance in practical scenes.
PIVA A . An overview on image forensics [J ] . ISRN Signal Process-ing , 2013 ,( 1 ): 1 - 22 .
王波 . 利用成像引入特征的数字图像被动盲取证研究 [D ] . 大连 : 大连理工大学 , 2010 .
WANG B . Study on passive and blind digital image forensics using characteristics introduced by image formation [D ] . Dalian : Dalian University of Technology , 2010 .
KOT A C , CAO H . Image and video source class identification [M ] // Digital Image Forensics . New York : Springer Press , 2013 : 157 - 178 .
SWAMINATHAN A , WU M , LIU K J R . Nonintrusive component forensics of visual sensors using output images [J ] . IEEE Transactions on Information Forensics and Security , 2007 , 2 ( 1 ): 91 - 105 .
XU G , SHI Y Q . Camera model identification using local binary patterns [C ] // IEEE International Confe rence on Multimedia and Expo(ICME) . 2012 : 392 - 397 .
KHARRAZI M , SENCAR H T , MEMON N . Blind source camera identification [C ] // IEEE International Conference on Image Proc-essing(ICIP) . 2004 : 709 - 712 .
SAN C K , LAM E Y , WONG K K Y . Automatic source cam-eraidentification using the intrinsic lens radial distortion [J ] . Optics Express , 2006 , 14 ( 24 ): 11551 - 11565 .
王波 , 孔祥维 , 尤新钢 , 等 . 基于协方差矩阵的CFA插值盲检测方法 [J ] . 电子与信息学报 , 2009 , 31 ( 5 ): 1175 - 1179 .
WANG B , KONG X W , YOU X G , et al . Blind CFA interpolation detection based on covariance matrix [J ] . Journal of Electronics and Information Technology , 2009 , 31 ( 5 ): 1175 - 1179
TAN Y , WANG B , LI M , et al . Camera source identification with limited labeled training set [C ] // The 14th International Workshop on Digital-forensics and Watermarking,Tokyo . 2015 .
孙雪辉 . 利用多特征和软件成像的手机图像盲取证技术 [D ] . 大连 : 大连理工大学 , 2010 .
SUN X H . Blind cell-phone image forensics based on multi- fea-tures and soft-imaging [D ] . Dalian : Dalian University of Technology , 2010 .
ISMAIL A . Steganalysis using image quality metrics [J ] . IEEE Transactions on Image Processing , 2003 , 12 ( 2 ): 221 - 229 .
ESKICOIGLU AM , FISHER P S . Image quality measures and their performance [J ] . IEEE Transactions on Communication , 1995 , 43 ( 12 ): 2959 - 2965 .
LYU S , FARID H . How realistic is photorealistic [J ] . IEEE Transac-tions on Signal Processing , 2005 , 53 ( 2 ): 845 - 850 .
WANG B , GUO Y Q , KONG X W , et al . Source camera identifica-tion forensics based on wavelet features [C ] // International Confer-ence on Intelligent Information Hiding and Multimedia Signal Processing,Kyoto . 2009 : 702 - 705 .
GLOE T , BOHME R . The dresden image database' for benchmark-ing digital image forensics [J ] . Journal of Digital Forensic Practice , 2010 , 3 ( 2-4 ): 150 - 159 .
0
浏览量
120
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621