基于载体痕迹区域校验的反取证算法研究

A Reverse Forensic Algorithms Based on the Carrier Check Mark Area

当前所有的单一取证技术都不能对待检图像给出全面的、确定的、精确的结论,而目前已提出的一些取证方法都是针对某些特定的数字图像篡改方式以及它所使用的特定场合,却不能够普遍适用多种应用的图像背景,为此提出了一种基于载体痕迹区域校验的反取证算法,首先提取像素的主成份特征,利用图像载体在造假中留下的主成份痕迹组成一个辨别区域,对区域中的痕迹特征解进行最优化计算,从而使得造假后的信息具有相对显性的特性。该算法设计步骤明了,计算复杂度低,并具有较高的安全性。实验结果表明,该算法在图像载体中的造假信息实现了高效提取,优化效果较为明显。

All current single forensics technology cannot be inspected images are comprehensive, determine, precise conclusion, and has proposed some forensics method is aimed at a certain way of digital image manipulation, and it USES a particular occasion, but not to image background of the widely used a variety of applications, therefore proposes a reverse forensics algorithm based on carrier check mark area, first extract principal component characteristics of pixels, using the image carrier in the fraud of traces of the principal component of a distinguish area, characteristics of traces of the area of the solution for optimization calculation, the information after making fraud has relatively dominant feature. Design steps, the algorithm has low computing complexity, and has higher security. Algorithms based on the experimental results show that the cost information in the image carrier to realize the efficient extraction and optimization effect is obvious.