384 citations · 1.2k across the 35 of their papers we have counts for
5 papers · 1 filter
Target-adaptive CNN-based pansharpening
Giuseppe Scarpa, Sergio Vitale, Davide Cozzolino
We recently proposed a convolutional neural network (CNN) for remote sensing image pansharpening obtaining a significant performance gain over the state of the art. In this paper,…
Autoencoder with recurrent neural networks for video forgery detection
Dario D'Avino, Davide Cozzolino, Giovanni Poggi +1
Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos. In this paper w…
SAR image despeckling through convolutional neural networks
G. Chierchia, D. Cozzolino, G. Poggi +1
In this paper we investigate the use of discriminative model learning through Convolutional Neural Networks (CNNs) for SAR image despeckling. The network uses a residual learning s…
A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization
Luca D'Amiano, Davide Cozzolino, Giovanni Poggi +1
We propose a new algorithm for the reliable detection and localization of video copy-move forgeries. Discovering well crafted video copy-moves may be very difficult, especially whe…
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
Local descriptors based on the image noise residual have proven extremely effective for a number of forensic applications, like forgery detection and localization. Nonetheless, mot…