Abstract: The ease of creating image forgery using image-splicing techniques will soon make our naive trust on image authenticity a tiling of the past. In prior work, we observed the capability of the bicoherence magnitude and phase features for image splicing detection. To bridge the gap between empirical observations and theoretical justifications, in this paper, an image-splicing model based on the idea of bipolar signal perturbation is proposed and studied. A theoretical analysis of the model leads to propositions and predictions consistent with the empirical observations.

  urltype      = {Subscription},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1419512},
  booktitle    = {Proceedings of the 2004 IEEE International Conference on Image Processing (ICIP 2004)},
  author       = {Tian-Tsong Ng and Shih-Fu Chang},
  volume       = {2},
  year         = {2004},
  title        = {A model for image splicing},
  pages        = {1169--1172},