Automated JPEG forgery detection with correlation based localization

Diangarti Bhalang Tariang, Aniket Roy, Rajat Subhra Chakraborty, Ruchira Naskar

Abstract: With the proliferation of the availability of highly sophisticated editing tools, the authenticity of digital images has now become questionable. An adversary may perform copy-paste forgery where portions from JPEG image files are copy-pasted into another image file (JPEG, TIFF, etc.) and then save it in uncompressed format (TIFF). It is known that tampered JPEG images contain traces of compression artifacts. In this paper, we propose an automated blind JPEG image forgery detection and localization technique with high detection accuracy, which is effective for identifying traces of JPEG compression in digital images saved in uncompressed format (TIFF). The forgery detection and localization is based on the computation and analysis of a correlation matrix calculated by recompressing the given (possibly tampered) image at different quality factors and then comparing the recompressed versions with the given image. The experimental results prove our technique has high detection and localization accuracy as compared to the existing techniques.