When image authenticity verification has to be carried out without any knowledge about the possible processing undergone by the image under analysis, it is fundamental to rely on a multi-clue approach, that merges the information stemming from several complementary forensic tools. This paper introduces a fully automatic framework for fusing the maps created by a set of unsupervised forgery localization algorithms, indicating possible manipulated areas. The framework takes into account the forgery maps, their reliability and the compatibility among the different traces considered by the tools. The achieved localization map is then refined by exploiting image content, thus improving the performance of the proposed system with respect to state of the art approaches. © 2015 IEEE.

Ferrara, P., Fontani, M., Bianchi, T., De Rosa, A., Piva, A., Barni, M. (2015). Unsupervised fusion for forgery localization exploiting background information. In 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015. New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/ICMEW.2015.7169770].

Unsupervised fusion for forgery localization exploiting background information

Barni, M.
2015-01-01

Abstract

When image authenticity verification has to be carried out without any knowledge about the possible processing undergone by the image under analysis, it is fundamental to rely on a multi-clue approach, that merges the information stemming from several complementary forensic tools. This paper introduces a fully automatic framework for fusing the maps created by a set of unsupervised forgery localization algorithms, indicating possible manipulated areas. The framework takes into account the forgery maps, their reliability and the compatibility among the different traces considered by the tools. The achieved localization map is then refined by exploiting image content, thus improving the performance of the proposed system with respect to state of the art approaches. © 2015 IEEE.
2015
9781479970797
Ferrara, P., Fontani, M., Bianchi, T., De Rosa, A., Piva, A., Barni, M. (2015). Unsupervised fusion for forgery localization exploiting background information. In 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015. New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/ICMEW.2015.7169770].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/981855