Exposing image splicing with inconsistent local noise variances

@article{Pan2012ExposingIS,
  title={Exposing image splicing with inconsistent local noise variances},
  author={Xunyu Pan and Xing Zhang and Siwei Lyu},
  journal={2012 IEEE International Conference on Computational Photography (ICCP)},
  year={2012},
  pages={1-10}
}
  • Xunyu Pan, X. Zhang, Siwei Lyu
  • Published 28 April 2012
  • Mathematics, Computer Science
  • 2012 IEEE International Conference on Computational Photography (ICCP)
Image splicing is a simple and common image tampering operation, where a selected region from an image is pasted into another image with the aim to change its content. In this paper, based on the fact that images from different origins tend to have different amount of noise introduced by the sensors or post-processing steps, we describe an effective method to expose image splicing by detecting inconsistencies in local noise variances. Our method estimates local noise variances based on an… Expand
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