Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909835410276352 |
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| author | Vázquez-Padín, David Pérez-González, Fernando Martín-Del-Río, Alejandro |
| author_facet | Vázquez-Padín, David Pérez-González, Fernando Martín-Del-Río, Alejandro |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_09509 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions Vázquez-Padín, David Pérez-González, Fernando Martín-Del-Río, Alejandro Computer Vision and Pattern Recognition 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. |
| title | Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2510.09509 |