952 citations · 2.4k across the 45 of their papers we have counts for
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Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives
Giulia Fracastoro, Enrico Magli, Giovanni Poggi +3
Synthetic aperture radar (SAR) images are affected by a spatially-correlated and signal-dependent noise called speckle, which is very severe and may hinder image exploitation. Desp…
ID-Reveal: Identity-aware DeepFake Video Detection
Davide Cozzolino, Andreas Rössler, Justus Thies +2
A major challenge in DeepFake forgery detection is that state-of-the-art algorithms are mostly trained to detect a specific fake method. As a result, these approaches show poor gen…
Deep learning in the ultrasound evaluation of neonatal respiratory status
Michela Gravina, Diego Gragnaniello, Luisa Verdoliva +9
Lung ultrasound imaging is reaching growing interest from the scientific community. On one side, thanks to its harmlessness and high descriptive power, this kind of diagnostic imag…
Media Forensics and DeepFakes: an overview
Luisa Verdoliva
With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism. The boundary between real an…
Combining PRNU and noiseprint for robust and efficient device source identification
Davide Cozzolino, Francesco Marra, Diego Gragnaniello +2
PRNU-based image processing is a key asset in digital multimedia forensics. It allows for reliable device identification and effective detection and localization of image forgeries…
CNN-based fast source device identification
Sara Mandelli, Davide Cozzolino, Paolo Bestagini +2
Source identification is an important topic in image forensics, since it allows to trace back the origin of an image. This represents a precious information to claim intellectual p…