Audiowatermarking using empirical mode decomposition
₹600-1500 INR
Paid on delivery
a new adaptive audio watermarking algorithm
based on Empirical Mode Decomposition (EMD) is introduced. The audio
signal is divided into frames and each one is decomposed adaptively, by
EMD, into intrinsic oscillatory components called Intrinsic Mode Functions
(IMFs). The watermark and the synchronization codes are embedded
into the extrema of the last IMF, a low frequency mode stable under different
attacks and preserving audio perceptual quality of the host signal.
The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Relying
on exhaustive simulations, we show the robustness of the hidden watermark
for additive noise, MP3 compression, re-quantization, filtering,
cropping and resampling. The comparison analysis shows that our method
has better performance than watermarking schemes reported recently
Project ID: #7705890