Individual camera device identification from JPEG images

作者：

Highlights：

• An improved signal-dependent noise model is proposed.

• Block fingerprints are extracted for identifying source camera.

• All the tests are designed within hypothesis testing theory.

• The optimal detector is established for testing on simulated data.

• Two practical detectors are designed for testing on real images.

摘要

Highlights•An improved signal-dependent noise model is proposed.•Block fingerprints are extracted for identifying source camera.•All the tests are designed within hypothesis testing theory.•The optimal detector is established for testing on simulated data.•Two practical detectors are designed for testing on real images.

论文关键词：Digital forensics,Device identification,Improved signal-dependent noise model,Nuisance parameters,Hypothesis testing

论文评审过程：Received 11 January 2016, Revised 30 December 2016, Accepted 30 December 2016, Available online 3 January 2017, Version of Record 9 January 2017.

论文官网地址：https://doi.org/10.1016/j.image.2016.12.011