Dual-Tree Complex Wavelet Transform Based Audio Watermarking Using Distortion-Compensated Dither Modulation

Dual-Tree Complex Wavelet Transform Based Audio Watermarking Using Distortion-Compensated Dither Modulation

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This paper presents a local audio watermarking method based on the dual-tree complex wavelet transform (DT CWT) and distortion-compensated dither modulation (DC-DM).Specifically, we perform visceratuant DT CWT on extracted audio segment, and embed the watermark signal in the decomposed low-pass coefficients.During the embedding process, the selected coefficients are block-divided into multiple host vectors, and the watermark signal is embedded into the selected set of host vectors by the dither modulation process.During the extraction process, the DC-DM is applied to generate the statistical differences, and the minimum distance decoding kbrovet-ca1 chewable tablets for dogs is employed to extract the watermark signal.

Experimental results show that the proposed method is robust against common signal processing attacks and de-synchronization attacks, such as re-quantization, resampling, MP3 compression, cropping, and so on.Comparisons with the existing methods also show the superiority of our proposed method.