Comparative Analysis of Digital Image Watermarking Techniques

This paper basically describes about the process of embedding a digital watermark on image and also extracting the watermark. This is done by applying DCT, DWT algorithm. Since, DCT is rotation, scaling and translation (RST) invariant. Hence it can be utilized to recoup from geometric bends hence, objective of this scheme is to develop low power, durable, strong and dependable watermarking framework for confirmation of image. The system is initially simulated and tested for various attacks in MATLAB/ Simulink® R2011a (7.12.0)

[1]  Jean-Luc Dugelay,et al.  A Survey of Watermarking Algorithms for Image Authentication , 2002, EURASIP J. Adv. Signal Process..

[2]  Farrokh Marvasti,et al.  Robust audio and speech watermarking using Gaussian and Laplacian modeling , 2010, Signal Process..

[3]  Min Wu,et al.  Watermarking for image authentication , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[4]  A. Essaouabi,et al.  A Wavelet-Based Digital Watermarking for Video , 2009, ArXiv.

[5]  Darshana Mistry,et al.  Comparison of Digital Water Marking methods , 2010 .

[6]  Arpan Pal,et al.  A Survey on Different Video Watermarking Techniques and Comparative Analysis with Reference to H.264/AVC , 2006, 2006 IEEE International Symposium on Consumer Electronics.

[7]  Dima Pröfrock,et al.  Dual watermarking for protection of rightful ownership and secure image authentication , 2006, MCPS '06.

[8]  Wenjun Zeng,et al.  Image-adaptive watermarking using visual models , 1998, IEEE J. Sel. Areas Commun..

[9]  A.A. Abdelwahab,et al.  An efficient watermark embedding technique , 2005, Proceedings of the Twenty-Second National Radio Science Conference, 2005. NRSC 2005..

[10]  Xiangyang Wang,et al.  A new adaptive digital audio watermarking based on support vector machine , 2008, J. Netw. Comput. Appl..