摘要： 提出一种基于张量分解的数字图像盲检测方法，从全局处理角度对JPEG压缩数字图像进行真伪盲检测。对于来自某一相机拍摄的一批参考图像组成的张量，利用张量分解的方法，从分解残差中分析提取图像特征，通过支持向量机分类器鉴别待检测图像是否直接来自该数码相机。实验结果表明，该方法对数字图像的来源鉴定具有较高准确性和较强的鲁棒性。

关键词: 图像盲取证, 张量分解, 支持向量机, 数字图像鉴别

Abstract: A blind digital image forensics method is proposed based on tensor decomposition to detect the authenticity of JPEG compressed image in global processing view. Image features are extracted from decomposition residual, which are obtained via tensor decomposition of a group of reference images shot by the claimed camera. Then the Support Vector Machine(SVM) classifier is applied to classify whether the image is from the claimed camera or not. Experimental results show that this method has high accuracy and strong robust.

Key words: blind image forensics, tensor decomposition, Support Vector Machine(SVM), digital image identification

中图分类号: 

• TN911.73