Detection of Resampling Based on Texture Complexity and Singular Value Decomposition

When images are tampered,they may undergo resampling manipulation.A resampling detection algorithm is proposed,which is designed to detect the changes brought into the linear dependencies of the image pixels introduced by the interpolation process of resampling.The specific statistical changes with different texture complexity are analyzed by singular value decomposition,the number and mean value of small singular values are used as distinguishing features,and SVM is used to classify.The performance of resampling detection shown in experimental results indicates the validity of the algorithm.