# Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics

arXiv: https://arxiv.org/abs/2004.10469 · HTML: https://mlsanity.com/paper/2004.10469/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Apr 2020.

## Built on by (most cited first, 1 of 1)

- [Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification](https://mlsanity.com/paper/2111.02144/) (2021)

## Abstract (arXiv)

Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, the rapid advancement in digital photography has greatly reshaped the pipeline of image capturing process on consumer-level mobile devices. The flexibility of camera parameter settings and the emergence of multi-frame photography algorithms, especially high dynamic range (HDR) imaging, bring new challenges to device fingerprinting. The subsequent study on these topics requires a new purposefully built image dataset. In this paper, we present the Warwick Image Forensics Dataset, an image dataset of more than 58,600 images captured using 14 digital cameras with various exposure settings. Special attention to the exposure settings allows the images to be adopted by different multi-frame computational photography algorithms and for subsequent device fingerprinting. The dataset is released as an open-source, free for use for the digital forensic community.