Abstract: 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 field of digital image forensics. There has been little work, however, in the field 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 coefficients can sufficiently remove quantization artifacts which act as indicators of JPEG compression while introducing an acceptable level of distortion. Simulation results are provided to verify the efficacy of this antiforensic technique.

  url          = {http://up.stevetjoa.com/stamm2010icassp_antiforensics.pdf},
  booktitle    = {International Conference on Acoustics, Speech, and Signal Processing},
  author       = {Matthew Stamm and Steven Tjoa and W. Sabrina Lin and K. J. Ray Liu},
  location     = {Dallas, TX},
  year         = {2010},
  title        = {Anti-forensics of {JPEG} compression},
  pages        = {1694-1697},