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.

  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},