WMicaD: a new digital watermarking technique using independent component analysis

Authors:
Thang Viet Nguyen;Jagdish Chandra Patra;Pramod Kumar Meher
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2008

Citing 12
Cited 0

Independent component analysis, a new concept?

Signal Processing - Special issue on higher order statistics
An information-maximization approach to blind separation and blind deconvolution

Neural Computation
Digital watermarking

Digital watermarking
A Stochastic Approach to Content Adaptive Digital Image Watermarking

IH '99 Proceedings of the Third International Workshop on Information Hiding
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
ICA for watermarking digital images

The Journal of Machine Learning Research
Independent component analysis applied to digital image watermarking

ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
A new blind watermarking technique based on independent component analysis

IWDW'02 Proceedings of the 1st international conference on Digital watermarking
A blind source separation technique using second-order statistics

IEEE Transactions on Signal Processing
Information-theoretic analysis of information hiding

IEEE Transactions on Information Theory
Secure spread spectrum watermarking for multimedia

IEEE Transactions on Image Processing
Fast and robust fixed-point algorithms for independent component analysis

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a new two-mark watermarking scheme that is based on the independent component analysis (ICA) technique. The first watermark is used for ownership verification while the second one is used as the copy ID of the image. Using a small-sized support image, the extraction is carried out on size-reduced level, bringing computational advantage to our method. The new method, undergoing a variety of experiments, has shown its robustness against attacks and its capability of detecting tampered area in the image.