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EnglishAugmented Reality is becoming a fundamental technique to provide an easy access to additional information directly from the surrounding environment. It is however crucial that the mean through which the information is accessed is as integrated in the environment as possible. To this end, several data hiding techniques have been devised in the years to encode information in images in an imperceptible way. However, these techniques are frequently strongly affected by printing and re-acquisition process. This work presents an application developing a data hiding technique robust to printing and camera acquisition (print-cam), thus allowing to recover inserted data (hundreds or thousands of information bits) from printed images in a robust way (e.g., for different size of printed cover image, in different illumination conditions, with various geometric distortions). Performance and robustness of the proposed solution are tested with respect to different metrics to prove the feasibility of the technique.
Blind Print-Cam Data Hiding Exploiting Color Perception / Baldessari, F.; Boato, G.; Lago, F.. - 11808(2019), pp. 30-38. ((Intervento presentato al convegno 2nd International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st International Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st International Workshop eHealth in the Big Data and Deep Learning Era, e-BADLE 2019, International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019 tenutosi a Trento nel 9-10 September, 2019 [10.1007/978-3-030-30754-7_4].
| Titolo: | Blind Print-Cam Data Hiding Exploiting Color Perception | |
| Autori: | Baldessari, F.; Boato, G.; Lago, F. | |
| Autori Unitn: | ||
| Titolo del volume contenente il saggio: | New Trends in Image Analysis and Processing – ICIAP 2019 | |
| Luogo di edizione: | Heidelberg; Berlin | |
| Casa editrice: | Springer Verlag | |
| Anno di pubblicazione: | 2019 | |
| Codice identificativo Scopus: | 2-s2.0-85072855622 | |
| ISBN: | 978-3-030-30753-0 978-3-030-30754-7 | |
| Handle: | http://hdl.handle.net/11572/251686 | |
| Citazione: | Blind Print-Cam Data Hiding Exploiting Color Perception / Baldessari, F.; Boato, G.; Lago, F.. - 11808(2019), pp. 30-38. ((Intervento presentato al convegno 2nd International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st International Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st International Workshop eHealth in the Big Data and Deep Learning Era, e-BADLE 2019, International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019 tenutosi a Trento nel 9-10 September, 2019 [10.1007/978-3-030-30754-7_4]. | |
| Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| BioFor2019 (3).pdf | Post-print referato (Refereed author’s manuscript) | Tutti i diritti riservati (All rights reserved) | Open Access Visualizza/Apri |
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