Dual tree complex wavelet transform approach to copy-rotate-move forgery detection

查看全文 作　　者：WU [1]YunJie;DENG [2]Yu;DUAN [1]HaiBin;ZHOU [3]LinNa

机构地区：[1]Science and Technology on Aircraft Control Laboratory, BeiHang University;[2]Department of Electronics Engineering, Tsinghua University;[3]Beijing Institute of Electronics Technology and Application

出　　处：《Science China(Information Sciences)》索引2014年第57卷第1期,共12页

基　　金：supported by National Natural Science Foundation of China(Grant No.91216304) 摘　　要：As a common scheme of image tampering,copy-move forgery plays an important role in image forgery committee.Although several blind methods aimed at detecting replicated regions have been proposed,these methods cannot detect the rotation changes in the duplicated areas efciently.In this paper,a new forensic method is presented to detect the replicated areas rotated by arbitrary angles,even by JPEG compression.To achieve this,overlapping blocks of pixels are decomposed using dual tree complex wavelet transform(DTCWT),and then channel energies are extracted from each subband at each decomposition level using the L1norm.Finally,the anisotropic rotationally invariant features are extracted using magnitudes of discrete Fourier transform for these channel energies.The implementation procedure of the proposed method is described in detail.Extensive experimental results,including a comparative evaluation with existing methods and the special applications in practice,are also presented to demonstrate the robustness and efectiveness of the proposed method. 关键词：旋转复制复小波变换检测伪造移动离散傅立叶变换 JPEG压缩能量提取

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Dual tree complex wavelet transform approach to copy-rotate-move forgery detection

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