Title :
Statistical Analysis of a Linear Algebra Asymmetricwatermarking Scheme
Author :
Boato, G. ; De Natale, F.G.B. ; Fontanari, C. ; Pérez-González, F.
Author_Institution :
Trento Univ., Trento
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
We introduce a novel asymmetric watermarking scheme, involving a private key for embedding and a public key for detection, and we detail its statistical analysis, relying on Neyman-Pearson criterion. The proposed scheme solves part of the problems connected to previous watermarking approaches based on linear algebra. In particular, special attention is paid at reducing the side information required at the detector, as well as at achieving higher robustness by enphasizing the contribution of the watermark in the detection phase.
Keywords :
linear algebra; private key cryptography; public key cryptography; statistical analysis; watermarking; Neyman-Pearson criterion; linear algebra asymmetric watermarking scheme; private key cryptography; public key cryptography; statistical analysis; Communications technology; Detectors; Fingerprint recognition; Linear algebra; Phase detection; Public key; Public key cryptography; Robustness; Statistical analysis; Watermarking; asymmetric watermarking; linear algebra; statistical analysis;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379871
