利用模糊估计和传感器噪声检测篡改图像

由于有功能强大的计算机和图像处理软件的存在，普通用户可以将数字图像篡改成他
们想得到的任何形式。所以检测数字篡改变成了一个非常严峻的问题。在大多数情况下，数字篡改图像是很逼真的，但是在处理过程中也会留下一些痕迹。文章将图像的模糊估计和传感器的模板噪声检测篡改的方法结合起来，对多幅图像操作，实验证明有不错的检测效果。
关键字：篡改图像；模糊估计；传感器噪声；检测篡改；模板噪声
Abstract:With powerful computer and editing software, ordinary users could turn digital images into what they want. The detecting of digital tampering has become a crucial problem. In most of the time,digital tampering is not perceptible by human, but some traces of digital tampering may be left in the media during the process. This article uses blur estimation and sensor noise to detect forgery. The performance of the proposed method is demonstrated on several forged images and has been proved to have good effect.
Keywords: Image Forgery; Blur Estimation; Sensor Noise; Detect Forgery; Pattern Noise