Determining Image Origin and Integrity Using Sensor Noise

Kodak (United States) · Syracuse University · +2 more institutions

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Abstract

In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformity noise (PRNU), which is a unique stochastic fingerprint of imaging sensors. The PRNU is obtained using a maximum-likelihood estimator derived from a simplified model of the sensor output. Both digital forensics tasks are then achieved by detecting the presence of sensor PRNU in specific regions of the image under investigation. The detection is formulated as a hypothesis testing problem. The statistical distribution of the optimal test statistics is obtained using a predictor of the test statistics on small image blocks. The…

Citation impact

880
total citations
FWCI
41.89
Percentile
100%
References
47
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Robustness (evolution)
  • Artificial intelligence
  • Computer vision
  • Image sensor
  • Noise (video)
  • Statistical hypothesis testing
  • Estimator
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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