Review on Image Watermarking using Bidimensional Empirical Mode Decomposition

As digital image watermarking has become an important tool for copyright protection, various watermarking schemes have been proposed in literature. Among them image watermarking using bidimensional empirical mode decomposition (EMD) is a newly developed method. In this review paper a comparison of EMD based methods of image watermarking is done. The use of Bidimensional Empirical Mode Decomposition(BEMD) in watermarking is motivated by the fact that it has better quality than Fourier, Wavelet and other decomposition techniques in extracting intrinsic components because of its fully data driven property. This decomposition is also proven as a very powerful tool for multi-scale analysis of non-stationary and nonlinear signals and also by the characteristics of the IMF. The watermarking is done on the IMFs obtained by performing BEMD. This watermarking technique is more robust against various signal processing operation and attacks.