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Image copy paste forgery detection based on JPEG coefficients change rate |
ZHAO Jie1,2, GUO Ji chang1 |
1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China; 2. School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China |
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Abstract A passive detection method with the single process was proposed in order to realize the detection and localization of copy paste forgery in one image and composite forgery between two images aiming at copy paste forgery with JPEG images. A counterfeit image was made the judgement whether it was stored in JPEG format. For a JPEG image, quantization table and JPEG coefficients were read from the image file; while for a non JPEG image, it was compressed into a JPEG image with a specific quality factor. The tampered image of JPEG format was compressed with another specific quality factor. The rate of JPEG coefficients change was calculated between the two JPEG compressions in every image sub block in order to obtain the JCCR image of JPEG coefficients change rate. Normalization processing was conducted in the JCCR image in order to locate the forgery regions. Experimental results demonstrate that the proposed approach can effectively detect a variety of situations in copy paste forgery with JPEG images, and achieve higher robustness and detection recall rate compared with recent similar methods.
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Published: 29 October 2015
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基于JPEG系数变化率的图像复制粘贴篡改检测
针对JPEG图像的复制粘贴篡改方式,提出单一流程的被动检测方法,实现了同幅图像复制粘贴篡改和异幅图像合成篡改的检测定位.该算法判断篡改图像是否为JPEG格式.对于JPEG图像,读取图像文件中存储的量化表和JPEG系数;对于非JPEG图像,进行特定质量因子的JPEG压缩转化为JPEG格式篡改图像.将JPEG格式篡改图像进行特定质量因子的JPEG压缩,计算每一个图像子块两次压缩间的JPEG系数变化率,得到JPEG系数变化率图像JCCR.对JCCR图像进行归一化处理,实现篡改区域的检测定位.实验结果表明,采用该算法可以有效地检测JPEG图像复制粘贴篡改的多种情形,与最近的同类方法相比,具有较高的鲁棒性和检测召回率.
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