摘要
数字图像的入侵越来越引起人们的关注,大量未加水印的数字照片,遭到入侵后,开展取证分析工作十分困难。由于数码相机在成像过程中,受到光学系统的制约,难以避免地存在着色像差。也就是说,图像各像素间存在着较强的局部联系,对图像的修改势必会引起图像统计特征的变化。基于此,提出并设计了一个适用于数字照片的图像取证分析系统,其中对部分已有图像入侵盲检测算法进行了改进。
At present, people pay more attention to the tempering of digital images. There are lots of digital photos without watermarking. It is difficult to detect digital forgeries in them. With the limits of optical system of the digital camera, the digital photos include a variety of aberration. That is to say, there are local correlations among the pixels in an image. When tampering with an image, the statistic features will be changed. Therefore, we design a forensic system based on chromatic aberration for digital photos.
出处
《微计算机信息》
2009年第6期83-84,100,共3页
Control & Automation
关键词
数字取证
图像伪造
统计特性
入侵检测
digital forensics
digital image forgery
image statistical features
tempering detection