Cao Yanjun, Gao Tiegang, Sheng Guorui, Fan Li, Gao Lin
College of Information Technical Science, Nankai University, No 94, Weijin Road, Tianjin, Nankai District, 300071, China.
J Forensic Sci. 2015 Jan;60(1):197-205. doi: 10.1111/1556-4029.12618. Epub 2014 Dec 1.
To prevent image forgeries, a number of forensic techniques for digital image have been developed that can detect an image's origin, trace its processing history, and can also locate the position of tampering. Especially, the statistical footprint left by JPEG compression operation can be a valuable source of information for the forensic analyst, and some image forensic algorithm have been raised based on the image statistics in the DCT domain. Recently, it has been shown that footprints can be removed by adding a suitable anti-forensic dithering signal to the image in the DCT domain, this results in invalid for some image forensic algorithms. In this paper, a novel anti-forensic algorithm is proposed, which is capable of concealing the quantization artifacts that left in the single JPEG compressed image. In the scheme, a chaos-based dither is added to an image's DCT coefficients to remove such artifacts. Effectiveness of both the scheme and the loss of image quality are evaluated through the experiments. The simulation results show that the proposed anti-forensic scheme can verify the reliability of the JPEG forensic tools.
为防止图像伪造,已开发出多种用于数字图像的法医技术,这些技术可以检测图像的来源、追溯其处理历史,还能定位篡改位置。特别是,JPEG压缩操作留下的统计特征可以为法医分析人员提供有价值的信息来源,并且已经基于离散余弦变换(DCT)域中的图像统计提出了一些图像法医算法。最近,研究表明通过在DCT域中向图像添加合适的抗法医抖动信号可以去除这些特征,这会导致一些图像法医算法失效。本文提出了一种新颖的抗法医算法,该算法能够隐藏单JPEG压缩图像中留下的量化伪像。在该方案中,将基于混沌的抖动添加到图像的DCT系数中以去除此类伪像。通过实验评估了该方案的有效性以及图像质量的损失。仿真结果表明,所提出的抗法医方案可以验证JPEG法医工具的可靠性。