中文摘要：

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。

英文摘要：

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.