Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions
This addresses a specific problem for forensic analysts and camera verification systems, though it is incremental as it builds on known PRNU challenges.
The paper tackled diagonal artifacts in Samsung smartphone images that cause fingerprint collisions in PRNU-based camera verification, showing that reliable verification is feasible with raw images from PRO mode but not for mid-range models or cases without raw access.
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.