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Digital audio watermarking aims to embed digital information in the form of multimedia files such as text, image or audio into an original audio signal. The main requirement of audio watermarking is to prove ownership as well as copyright protection. This paper presents efficient audio watermarking based on Wavelet transform. The L level Haar Wavelet transform is performed on the audio signal and...
This paper presents a novel high-capacity audio watermarking system to embed data and extract them in a bit-exact manner by changing some of the magnitudes of the FFT spectrum. The key idea is to divide the FFT spectrum into short frames and change the magnitude of the selected FFT samples using Fibonacci numbers. Taking advantage of Fibonacci numbers, it is possible to change the frequency samples...
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