Anti-forensics of JPEG compression

The widespread availability of photo editing software has made it easy to create visually convincing digital image forgeries. To address this problem, there has been much recent work in the eld of digital image forensics. There has been little work, however, in the eld of anti-forensics, which seeks to develop a set of techniques designed to fool current forensic methodologies. In this work, we present a technique for disguising an image’s JPEG compression history. An image’s JPEG compression history can be used to provide evidence of image manipulation, supply information about the camera used to generate an image, and identify forged regions within an image. We show how the proper addition of noise to an image’s discrete cosine transform coef cients can suf ciently remove quantization artifacts which act as indicators of JPEG compression while introducing an acceptable level of distortion. Simulation results are provided to verify the ef cacy of this antiforensic technique.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu
• Keywords: Digital Image, ICASSP 2010, Image’s Jpeg Compression, JPEG Compression History, Signal Processing