Determining Image Origin and Integrity Using Sensor Noise
Kodak (United States) · Syracuse University · +2 more institutions
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
- FWCI
- 41.89
- Percentile
- 100%
- References
- 47
Authors
4- MCMo ChenCorresponding
Kodak (United States), Syracuse University
- JFJessica Fridrich
Binghamton University, Syracuse University
- MGMiroslav Goljan
Binghamton University
- JLJan Lukas
Advanced Technology Group (Czechia)
Topics & keywords
- Computer science
- Robustness (evolution)
- Artificial intelligence
- Computer vision
- Image sensor
- Noise (video)
- Statistical hypothesis testing
- Estimator
- Peace, Justice and strong institutions