Abstract: With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most of the time, digital tampering is not perceptible by human: however, some traces of digital tampering may be left in the media during the process. Based on this idea, we present a method in this paper that could reveal blurred regions that indicate possible tampering without any embedded information such as watermarking technique. Effectiveness and results are presented, robustness is also discussed.

@inproceedings{Hsiao:2005aa,
  urltype      = {Subscription},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1592538},
  booktitle    = {Proceedings of the First International Workshop on Systematic Approaches to Digital Forensic Engineering (SADFE'05)},
  author       = {Dun-Yu Hsiao and Soo-Chang Pei},
  year         = {2005},
  title        = {Detecting digital tampering by blur estimation},
  pages        = {264--278},
}