网络与信息安全学报 ›› 2016, Vol. 2 ›› Issue (9): 65-71.doi: 10.11959/j.issn.2096-109x.2016.00100

• 学术论文 • 上一篇    下一篇

JPEG压缩对相机型号来源取证的影响分析

王波(),殷建峰,李亚宾   

  1. 大连理工大学信息与通信工程学院,辽宁 大连 116024
  • 修回日期:2016-08-19 出版日期:2016-09-15 发布日期:2020-03-26
  • 作者简介: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。
  • 基金资助:
    国家自然科学基金资助项目(61502076);辽宁省教育厅科学研究基金资助项目(L2015114)

Performance evaluation for JPEG compression on model-based source camera identification

Bo WANG(),Jian-feng YIN,Ya-bin LI   

  1. School of Information and Communication Engineering,Dalian University of Technology,Dalian 116024,China
  • Revised:2016-08-19 Online:2016-09-15 Published:2020-03-26
  • Supported by:
    The National Natural Science Foundation of China(61502076);Scientific Research Foundation of the Education Department of Liaoning Province(L2015114)

摘要:

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。

关键词: 相机型号来源取证, JPEG压缩, 彩色滤波阵列, 局部二进制模式, 图像质量测量, 小波变换

Abstract:

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.

Key words: model-based source camera identification, JPEG compression, color filter array, local binary pattern, image quality measures, wavelet transform

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