Device (In)Dependence of Deep Learning-based Image Age Approximation

arXiv:2404.11974v1 Announce Type: cross
Abstract: The goal of temporal image forensic is to approximate the age of a digital image relative to images from the same device. Usually, this is based on traces left during the image acquisition pipeline. For example, several methods exist that exploit the presence of in-field sensor defects for this purpose. In addition to these 'classical' methods, there is also an approach in which a Convolutional Neural Network (CNN) is trained to approximate the image age. …

abstract acquisition age approximation arxiv cs.cv deep learning defects digital eess.iv example exploit image images pipeline sensor temporal traces type