Output details
11 - Computer Science and Informatics
University of York
Article title
Optimized 3D Watermarking for Minimal Surface Distortion
Type
D - Journal article
Title of journal
IEEE Transactions on Image Processing
Article number
-
Volume number
22
Issue number
5
First page of article
1822
ISSN of journal
1057-7149
Year of publication
2013
Number of additional authors
1
Additional information
<24>This paper uses a new surface distortion cost function for blind 3D watermarking. While the cost function is common with Bors 2, this paper focuses on using the Levenberg-Marquardt method to control the local distortion when embedding the watermark onto 3-D object surfaces when statistical perturbations are present. The new surface error function is used to define an optimization criterion for the Levenberg-Marquardt optimization method. The paper presents for the first time in 3-D watermarking, a study of watermark crypto-security. This includes parameter sensitivity, shape distortion analysis, watermark robustness tests and the bit capacity of the embedding.
Interdisciplinary
-
Cross-referral requested
-
Research group
H - Computer Vision and Pattern Recognition
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
