IAPP

• Denoising di immagini
• Despecling di immagini SAR e SAR polarimetriche
• Metodi di elaborazione di immagini basati su sparsità
• Super-risoluzione di immagini
• Riconoscimento di dispositivi per applicazioni di sicurezza
• Elaborazione di segnali e immagini per applicazioni forensi
• Implementazione di reti di sensori mediante Arduino/Raspberry

VISION Dataset License

Copyright (c) CSP Lab. (Communications & Signal Processing Laboratory), Dept Information Engineering, University of Florence, 2017

All data provided in the 'VISION dataset' are made freely available for scientific, non-commercial purposes such as academic research, teaching, or personal experimentation. Permission is granted to use and copy the provided data given that you agree to the following coniditions:

Note: The following links are available only via Mozilla Firefox as from 25/03/2020.

EVA-7K

e-FFT.rar

This archive includes a C++ prototype implementation of encrypted domain fast Fourier transform (e-FFT) based on Paillier homomorphic cryptosystem [1]. Both radix-2 and radix-4 decimation in time versions are provided. If you find the code useful, please cite the following reference: