基于盲取证技术的图像真伪检测方法的研究

Research on image authenticity detection method based on bind forensics technology

针对图片恶意篡改对社会舆论、科学研究、司法取证甚至国家安全产生重大威胁的问题,本文提出基于盲取证技术的图片真伪检测方法;通过提取清晰度残差,保留图片的非边缘区域,构造图像噪声特征向量;利用曝光等式计算参数向量,拼接成EXIF信息特征矩阵;通过对图像的EXIF信息和噪声特征进行训练并得出权重,并依据权重预测图像的EXIF信息,从而可判断图像的真伪性。实验证明:本文提出的方法能够实现对图像的真实性的判断,且实现简单,计算效率高.

Maliciously tampered pictures pose a major threat to public opinion,scientific research,judicial forensics,and even national security.This paper proposes a method of image authenticity detection based on passive identification technology.In this method,the image noise feature vector is constructed by extracting the definition residual,preserving the non-edged region of the image.The exposure equation is used to calculate the parameter vector,and the EXIF information feature matrix is spliced.Through training the EXIF information and noise features of the image,the weight can be calculated and used to predict the EXIF information of the image,so as to judge the authenticity of the image.The experimental results show that the method proposed in this paper can realize the authenticity judgment of the whole image,which is simple and efficient.