Fixed-Distortion orthogonal dirty paper coding for perceptual still image watermarking

Authors:
Andrea Abrardo;Mauro Barni
Affiliations:
Department of Information Engineering, University of Siena, Siena, Italy;Department of Information Engineering, University of Siena, Siena, Italy
Venue:
IH'04 Proceedings of the 6th international conference on Information Hiding
Year:
2004

Citing 11
Cited 3

Sphere-packings, lattices, and groups

Sphere-packings, lattices, and groups
Elements of information theory

Elements of information theory
Digital watermarking

Digital watermarking
Informed Watermarking

Informed Watermarking
Computer Methods for Mathematical Computations

Computer Methods for Mathematical Computations
Performance analysis of existing and new methods for data hiding with known-host information in additive channels

IEEE Transactions on Signal Processing
Scalar Costa scheme for information embedding

IEEE Transactions on Signal Processing
Asymptotically dense spherical codes. I. Wrapped spherical codes

IEEE Transactions on Information Theory
Asymptotically dense spherical codes .II. laminated spherical codes

IEEE Transactions on Information Theory
Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

IEEE Transactions on Information Theory
Applying informed coding and embedding to design a robust high-capacity watermark

IEEE Transactions on Image Processing

Fast informed embedding in dirty-paper trellis-code with orthogonal arcs

Proceedings of the 4th ACM international workshop on Contents protection and security
Compressive-sensing based watermarking scheme for sparse image tampering identification

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Dirty-Paper trellis-code watermarking with orthogonal arcs

PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new informed image watermarking technique is proposed incorporating perceptual factors into dirty paper coding. Due to the equi-energetic nature of the adopted codewords and to the use of a correlation-based decoder, invariance to constant value-metric scaling (gain attack) is automatically achieved. By exploiting the simple structure of orthogonal and Gold codes, an optimal informed embedding technique is developed, permitting to maximize the watermark robustness while keeping the embedding distortion constant. The maximum admissible distortion level is computed on a block by block basis, by using Watson’s model of the Human Visual System (HVS). The performance of the watermarking algorithm are improved by concatenating dirty paper coding with a turbo coding (decoding) step. The validity of the assumptions underlying the theoretical analysis is evaluated by means of numerical simulations. Experimental results confirm the effectiveness of the proposed approach.