Alessandro Basso
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Alessandro Basso has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Annamaria Vernone
Department of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, Italy
1 shared publication Davide Cavagnino
Department of Computer Science, University of Torino, c.so Svizzera 185, 10149 Torino , Italy
1 shared publication- Francesco Bergadano
University of Turin
1 shared publication - Michele Miraglia
Computer Science Department, University of Torino, Torino, Italy
1 shared publication - Stefano Sicco
Computer Science Department, University of Torino, c.so Svizzera 185, 10149 Torino, Italy
1 shared publication Victor Pomponiu
Department of Computer Science, University of Torino, c.so Svizzera 185, 10149 Torino , Italy
1 shared publication
Latest Publications
- 16 June 2010
- Published by Oxford University Press (OUP) in The Computer Journal
- Vol. 54 (7) , 1076-1090
Blind Watermarking of Color Images Using Karhunen-Loeve Transform Keying
This paper presents a method for blind digital watermarking of color images. The proposed scheme performs a decorrelation of the RGB color bands of the image to be watermarked using a Karhunen–Loève transform (KLT), then marks the coefficients of the KLT of the first band obtained. The novelty of the method resides in the fact that the KLT basis images used for the transforms are not related to the image being marked, but are from an image taken as the secret key used throughout the scheme. The watermarking of the chosen KLT coefficients is performed using an i.i.d. Gaussian sequence. The method shows good robustness to attacks and signal processing operations, in particular to JPEG compression, filtering, resampling and noise addition, maintaining at the same time a high image quality. In addition, the scheme is secure against protocol attacks such as copy attack and ambiguity attack.
- 16 June 2010
- Published by Oxford University Press (OUP) in The Computer Journal
- Vol. 54 (7) , 1076-1090
Blind Watermarking of Color Images Using Karhunen-Loeve Transform Keying
This paper presents a method for blind digital watermarking of color images. The proposed scheme performs a decorrelation of the RGB color bands of the image to be watermarked using a Karhunen–Loève transform (KLT), then marks the coefficients of the KLT of the first band obtained. The novelty of the method resides in the fact that the KLT basis images used for the transforms are not related to the image being marked, but are from an image taken as the secret key used throughout the scheme. The watermarking of the chosen KLT coefficients is performed using an i.i.d. Gaussian sequence. The method shows good robustness to attacks and signal processing operations, in particular to JPEG compression, filtering, resampling and noise addition, maintaining at the same time a high image quality. In addition, the scheme is secure against protocol attacks such as copy attack and ambiguity attack.
- 1 January 2010
- Published by Springer Nature
- p. 273-291
Anti-bot Strategies Based on Human Interactive Proofs
- 1 January 2010
- Published by Springer Nature
- p. 273-291
Anti-bot Strategies Based on Human Interactive Proofs
- 6 December 2008
- Published by Elsevier in Computers & Security
- Vol. 28 (3-4) , 174-188
Preventing massive automated access to web resources
- 6 December 2008
- Published by Elsevier in Computers & Security
- Vol. 28 (3-4) , 174-188
Preventing massive automated access to web resources
- Open Access
- 20 February 2008
- Published by Elsevier in Electronic Notes in Theoretical Computer Science
- Vol. 197 (2) , 149-157
Avoiding Massive Automated Voting in Internet Polls
- 20 February 2008
- Published by Elsevier in Electronic Notes in Theoretical Computer Science
- Vol. 197 (2) , 149-157
Open AccessAvoiding Massive Automated Voting in Internet Polls