  PRNU based camera recognition method is widely studied in the image forensic
literature. In recent years, CNN based camera model recognition methods have
been developed. These two methods also provide solutions to tamper localization
problem. In this paper, we propose their combination via a Neural Network to
achieve better small-scale tamper detection performance. According to the
results, the fusion method performs better than underlying methods even under
high JPEG compression. For forgeries as small as 100$\times$100 pixel size, the
proposed method outperforms the state-of-the-art, which validates the
usefulness of fusion for localization of small-size image forgeries. We believe
the proposed approach is feasible for any tamper-detection pipeline using the
PRNU based methodology.
