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In the term of signal processing, watermark is a weak signal embedded into a strong background like the digital audio, so the variety of carriers will influence the watermark detection directly.
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The time domain-based solutions (such as LSB schemes [5] and echo hiding [6]) usually have a low computational cost but somewhat sensitive to additive noises, while the frequency domain watermarking methods provide a satisfactory resistance to audio processing operations by watermarking low-frequency component of the signal.
The watermarking processing is performed in the frequency (DCT) domain.
Check 'Include watermark' in the 'Watermark' section.
The problem of audio watermarking against common audio processing operations can be solved by embedding the watermark in the frequency domain instead of in the time domain.
In order to reduce the processing time, they cut the watermark into fifty sections.
From the signal processing point of view, a watermark can be taken as a weak signal added onto a cover-signal (such as a digital audio clip or an image file).
To conclude this section, Fig. 4 outlines the processing flow of the proposed watermarking method.
His main research activities, witnessed by several publications, include digital image processing, image and video digital watermarking, multimedia forensics.
Robustness means that the watermarked data can withstand different image processing attacks and imperceptibility means that the watermark would not introduce any perceptible artifacts[1].
A novel watermarking methodology, highly robust on signal processing attacks and with high-quality watermarked images was presented in the previous sections.
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