GDL

Journal from gdlhub / 2017-08-15 13:27:42
Oleh : Mohammad Ali Nematollahi , S.A.R. Al-Haddad, Faraneh Zarafshan, King Saud University
Dibuat : 2015-01-15, dengan 1 file

Keyword : Blind digital speech water- marking; Eigen-value; Discrete wavelet transform; Singular value decomposition
Url : http://www.sciencedirect.com/science/article/pii/S131915781400055X
Sumber pengambilan dokumen : web

This paper presents a new blind digital speech watermarking technique based on Eigen-value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech was transformed into the wavelet domain by applying Discrete Wavelet Transform. Then, the Eigen-value of Approximation Coefficients was computed by using Singular Value Decomposition. Finally, the watermark bits were embedded by quantization of the Eigen-value. The experimental results show that this watermarking technique is robust against different attacks such as filtering, additive noise, resampling, and cropping. Applying new robust transforms, adaptive quantization steps and synchronization techniques can be the future trends in this field.

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