Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
arXiv:2001.07799 · 2020 · Preprint / working paper
About this work
Scientific images have different properties from everyday photographs. This preprint develops a detector tailored to scientific imagery and tests whether inconsistencies in image noise can reveal manipulated regions.
Cite this work
Ziyue Xiang; Daniel E. Acuna (2020). Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. arXiv:2001.07799. 10.48550/arXiv.2001.07799.
@article{xiang2020tampering,
title = {Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets},
author = {Xiang, Ziyue and Acuna, Daniel E.},
year = {2020},
publication_date = {2020-01-21},
journal = {arXiv:2001.07799},
doi = {10.48550/arXiv.2001.07799},
url = {https://arxiv.org/abs/2001.07799}
}