2021 IEEE International Conference on Image Processing
19-22 September 2021 • Anchorage, Alaska, USA
Imaging Without Borders
| Paper ID | IFS-2.5 | ||
| Paper Title | IDENTIFICATION OF IN-FIELD SENSOR DEFECTS IN THE CONTEXT OF IMAGE AGE APPROXIMATION | ||
| Authors | Robert Jöchl, Andreas Uhl, University of Salzburg, Austria | ||
| Session | IFS-2: Information Forensics and Security | ||
| Location | Area K | ||
| Session Time: | Monday, 20 September, 15:30 - 17:00 | ||
| Presentation Time: | Monday, 20 September, 15:30 - 17:00 | ||
| Presentation | Poster | ||
| Topic | Information Forensics and Security: Multimedia forensics | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | Image sensor defects that develop in field over a camera’s lifetime are at the core of temporal image forensics, as by knowing their onset time a temporal order can be assigned among pieces of evidence. In this context, only defects that have developed within the time interval of the available data set are relevant. The available methods for defect detection, based on regular scene images, aim to identify all present defects (e.g., to conceal them). In this paper, we introduce two novel defect detection techniques. Because of their properties, these methods only detect defects relevant for image age approximation. This is important since defects that do not provide additional age information can negatively affect the process of image age approximation. | ||