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Home Page of Fabrizio Argenti

Fabrizio Argenti - Associate Professor

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HDR License

HDR License

Copyright (c) CSP Lab. (Communications & Signal Processing Laboratory), Dept. Information Engineering, University of Florence, 2018

All data provided in the 'HDR 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:

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VISION Dataset License

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:

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Datasets

HDR

The 'HDR dataset' contains more than 5000 Standard Dynamic Range (SDR) and High Dynamic Range (HDR) images captured using 23 different mobile devices of 7 major brands. A detailed description of the dataset is available in the journal paper "A New Dataset for Source Identification of High Dynamic Range Images", published on Sensors, 2018.

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Home Page Alessia De Rosa

 

Dipartimento di Ingegneria dell'Informazione
Università degli Studi di Firenze
Via S. Marta 3, 50139, Firenze, Italy
Tel: +39 055 2758550
Fax: +39 055 2758570
E-mail: alessia.derosa [AT] unifi.it

Research  |  Projects  |  Publications

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Multimedia Forensics

Hybrid_reference_for_videos.zip

This archive includes a Matlab implementation of the Sensor Pattern Noise analysis for digital videos using images as reference. The tool is described in M. Iuliani, M. Fontani, D. Shullani, A. Piva "Hybrid reference-based Video Source Identification". Sensors 2019, 19, 649. Last update on February 11, 2019.

 

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Alessandro Piva's Home Page

Alessandro Piva's Photo Associate Professor
Department of Information Engineering 
University of Florence
via S. Marta 3, 50139, Firenze, Italy
tel: +39 055 2758584
e-mail: alessandro.piva [AT] unifi.it

 

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