Forgery Image Dataset
Dataset
Hossain, Faria, Gul, Asim, Raja, Rameez, Dagiuklas, A. and Galkandage, Chathura (2022). Forgery Image Dataset. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.21227/9dmj-yn86
Authors | Hossain, Faria, Gul, Asim, Raja, Rameez, Dagiuklas, A. and Galkandage, Chathura |
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Abstract | This is a dataset regarding the creation of forgery images. The dataset consists of 1000 original and 3000 forgery images generated from the original images. The original images have been retrieved from publicly available repositories. Three different models have been used for creating the forgery images: cut-paste, copy-move, and erase-filling. Both pre-processing (sharpening, color enhancement, resizing, blurring, regulating exposure) and post-processing (sampling, rotation, masking) techniques have been considered for the generation of the forgery images. The dataset can be used for research in the area of fake image identification. This dataset has been created in the context of the H2020 project SocialTruth. This dataset is not available from this repository, see DOI for full access. |
Keywords | Forgery Images; Tampered images |
Year | 2022 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Digital Object Identifier (DOI) | https://doi.org/10.21227/9dmj-yn86 |
Funder/Client | European Commission (H2020) |
Data files | Data type Image File Access Level Open |
Data collection period | 01 Apr 2021 to end of 11 Jan 2022 |
Geographic location | London |
Data collection method | image processing |
Data preparation and processing activities | N/A |
Publication process dates | |
Deposited | 24 Jan 2022 |
https://openresearch.lsbu.ac.uk/item/8z1vq
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