Forgery Image Dataset

Citation Author(s):
Faria
Hossain
London South Bank University
Asim
Gul
London South Bank University
Rameez
Raja
London South Bank University
Tasos
Dagiuklas
London South Bank University
Chathura
Galkandage
London South Bank University
Submitted by:
Faria Hossain
Last updated:
Mon, 01/17/2022 - 11:03
DOI:
10.21227/9dmj-yn86
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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.

Instructions: 

• The original images are included in two different directories (low resolution and high resolution).
• There are three different sub-directories corresponding to the three different forgery models.
• In each sub-directory, there are folders associated with pre-processing and post-processing techniques.
• All post-processing techniques have been applied to forgery images.

Comments

Hello

Submitted by Md. Alamin on Sun, 01/16/2022 - 01:40