Hiding traces of the blurring effect in digital forgeries

The confliction between image tampering and digital forensic has persisted for more than a decade. With powerful photo editing software, everyone can easily forge images by Copy-Paste operation. To eliminate the visual edge introduced by tampering, they may employ edge and region smoothing after the contents are manipulated or altered. This process often introduces disharmony between authentic regions and tampering regions. The traces of digital tampering can be detected by estimating the sharpness of the image regions. To remove the fragility of Copy-Paste operation, we proposed a genetic based algorithm to eliminate the blurring in the forgery image. After the processing, the sharpness of the blurred region is recovered and the image quality is preserved.

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

[2]  Rainer Böhme,et al.  Tamper Hiding: Defeating Image Forensics , 2007, Information Hiding.

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

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

[5]  Chen Ying,et al.  Exposing Digital Forgeries by Detecting Traces of Smoothing , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[6]  Soo-Chang Pei,et al.  Detecting digital tampering by blur estimation , 2005, First International Workshop on Systematic Approaches to Digital Forensic Engineering (SADFE'05).