# Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions

arXiv: https://arxiv.org/abs/2510.09509 · HTML: https://mlsanity.com/paper/2510.09509/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 19 references that are in the map.
- First posted on arXiv 10 Oct 2025.

## Builds on (most cited first, 4 of 4)

- [A leak in PRNU based source identification. Questioning fingerprint uniqueness](https://mlsanity.com/paper/2009.04878/) (2020)
- [The Adobe Hidden Feature and its Impact on Sensor Attribution](https://mlsanity.com/paper/2401.01366/) (2023)
- [An Adaptive Method for Camera Attribution under Complex Radial Distortion Corrections](https://mlsanity.com/paper/2302.14409/) (2023)
- [Apple's Synthetic Defocus Noise Pattern: Characterization and Forensic Applications](https://mlsanity.com/paper/2505.07380/) (2025)

## Abstract (arXiv)

We investigate diagonal artifacts present in images captured by several Samsung smartphones and their impact on PRNU-based camera source verification. We first show that certain Galaxy S series models share a common pattern causing fingerprint collisions, with a similar issue also found in some Galaxy A models. Next, we demonstrate that reliable PRNU verification remains feasible for devices supporting PRO mode with raw capture, since raw images bypass the processing pipeline that introduces artifacts. This option, however, is not available for the mid-range A series models or in forensic cases without access to raw images. Finally, we outline potential forensic applications of the diagonal artifacts, such as reducing misdetections in HDR images and localizing regions affected by synthetic bokeh in portrait-mode images.