کنفرانس بین المللی فناوری اطلاعات و دانش

English

صفحه اصلی / چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش

A novel approach audio watermarking based on (GBT,DCT,SVD)

نویسندگان :

Mahdi Mosleh¹

1- دانشگاه ازاد اسلامی اصفهان(خوراسگان)

کلمات کلیدی :

Copyright protection،Audio watermarking،Graph-based Transform(GBT)،Discrete Cosine Transform(DCT)،Singular value decomposition

چکیده :

Digital watermarking technology is presented as one of the best solutions for solving unauthorized copying, content identification and authentication of digital media. Digital watermarking can be applied in the field of image, text, audio, and video. Audio watermarking has recently attracted the attention of researchers because the human auditory system is much more sensitive than his vision system. Therefore, insertion of the data into audio signals in a Transparency way is much more difficult than other watermarking species. An efficient audio watermarking system should improve reconciliation of three measures of transparency, strength and capacitance. Improving the compromise between these three measures is very complex, due to increasing the capacity of the input signal, it causes distortions in the signal and it causes a reduction in transparency and robustness. In this paper, a method is proposed to introduce audio watermarking. It is able to improve the compromise between the three criteria of transparency, resilience, and capacity. The proposed method is based on Graph-based Transform(GBT) and Discrete cosine transform (DCT) and Singular value decomposition(SVD). In this method, the audio signal of the host is divided into non-overlapping frames, then GBT conversion is obtained from each frame using a suitable graph structure. Then, on a number of primary coefficients obtained from GBT transformation, DCT transformation is taken and from the low frequency coefficients obtained from DCT transformation, SVD is taken, from the coefficients obtained from experience (SVD) and Then the insertion operation is performed on the matrix S. The hidden image extraction operation is done blindly at the destination. The results of the evaluation of this proposed method on audio files with Blue, Electronic, Classic and Jazz styles show that the presented method has an average SNR= 41.19 dB and road rate is 519.25 bps