| 王丽侠.不同图像之间拼接篡改的数字图像检测研究[J].唐山学院学报,2018,31(6):18-26 |
| 不同图像之间拼接篡改的数字图像检测研究 |
| Research on Detection of Digital Stitched-and-Tampered Images |
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| DOI：10.16160/j.cnki.tsxyxb.2018.06.005 |
| 中文关键词: 图像检测 拼接篡改 颜色滤波阵列模型 期望最大化算法 |
| 英文关键词: image detection stitch and tamper CFA model EM algorithm |
| 基金项目: |
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| 摘要点击次数: 8306 |
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| 中文摘要: |
| 对基于CFA（颜色滤波阵列）模型的篡改检测算法进行了改进。其检测过程为：首先，利用插值算法得到像素位置的预测误差，根据预测误差计算出CFA单元特征；然后，利用EM（期望最大化）算法估计特征模型的参数，算法对篡改位置的均值不做事先确定（从实验来看这种改进具有较好的效果）；最后，利用贝叶斯理论计算出每个像素点的似然率，根据似然率的不同来定位篡改区域。在进行单CFA阵列模式检测的情况下，对多种CFA阵列模式的图像也进行了检测分析，实验结果显示，该算法能够对多种CFA阵列模式的图像准确定位篡改区域。 |
| 英文摘要: |
| The tampering detection method based on CFA Model is improved in this paper. The process is as follows:Firstly,to obtain the prediction error of the pixel position by using interpolation algorithm and calculate CFA unit features according to the prediction error; then, to estimate the parameters of the feature model with the EM algorithm and not to determine the average of tampering location beforehand(this improvement has a better effect in the experiment); finally,to calculate the likelihood ratio of each pixel with Bayesian Theory and to locate the tampered area according to the difference in the likelihood ratio. After the detection of a single CFA array pattern,the images with multifarious CFA array pattern are also detected. Experiment results show that tampered areas of images with multifarious CFA array pattern can be accurately located. |
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