DWT-PCA (EVD) Based Copy-move Image Forgery Detection

In a co py-move image forgery, a part of an ima ge is copied and then pasted on a different location within the sa me image. Usua lly, such an image tampering is do ne with the aim of e ither hiding some image det ails, in whi ch case a backgro und is du plicated, o r ad ding mor e deta ils r esulting in a t least some fea ture bein g cl oned. Whichever the ca se, ima ge i ntegrity i s lost . In thi s p aper we present an improved a lgorithm based on Discrete Wavelet Transform (DWT) and Principal Component AnalysisEigenvalue D ecomposition (PCA-EVD) to detect s uch cloning for gery. F urthermore, for academic purposes and via a simplified, toy image we demonstrate how such algorithm works in detecting cloning forgery. Experimen tal results show that t he prop osed sc heme accu rately d etects such specif ic im age manipulations as long as the copied region is not rotated or scaled.

[1]  Hany Farid,et al.  Exposing digital forgeries through chromatic aberration , 2006, MM&Sec '06.

[2]  Alin C. Popescu,et al.  Exposing Digital Forgeries by Detecting Duplicated Image Regions Exposing Digital Forgeries by Detecting Duplicated Image Regions , 2004 .

[3]  C. Hsieh,et al.  Geometric invariant semi-fragile image watermarking using real symmetric matrix , 2006 .

[4]  Alin C. Popescu,et al.  Exposing digital forgeries in color filter array interpolated images , 2005, IEEE Transactions on Signal Processing.

[5]  Yong Cheng,et al.  Image Watermarking Resynchronization to Geometric Attacks in DWT Domain , 2010, J. Digit. Content Technol. its Appl..

[6]  Hany Farid,et al.  Exposing digital forgeries by detecting traces of resampling , 2005 .

[7]  Qiong Wu,et al.  A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[8]  Nasir D. Memon,et al.  An efficient and robust method for detecting copy-move forgery , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Chi-Man Pun,et al.  Geometric Invariant Shape Representation Based on Radon and Adaptive Stationary Wavelet Transforms , 2010, J. Convergence Inf. Technol..

[10]  Jan Lukás,et al.  Detecting digital image forgeries using sensor pattern noise , 2006, Electronic Imaging.

[11]  E. S. Gopi Subbu,et al.  Digital Image Forgery Detection using Artificial Neural Network and Auto Regressive Coefficients , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[12]  Andreas Uhl,et al.  Survey of wavelet-domain watermarking algorithms , 2001, IS&T/SPIE Electronic Imaging.

[13]  Frank Hartung,et al.  Multimedia watermarking techniques , 1999, Proc. IEEE.

[14]  Jessica Fridrich,et al.  Detection of Copy-Move Forgery in Digital Images , 2004 .

[15]  Hany Farid,et al.  Exposing digital forgeries by detecting inconsistencies in lighting , 2005, MM&Sec '05.