文章基本信息

标题：A New Audio Watermarking Method Based on Discrete Cosine Transform with a Gray Image
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作者：Mohammad Ibrahim Khan ; Md. Iqbal Hasan Sarker ; Kaushik Deb 等
期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2012
卷号：4
期号：4
页码：119
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Many effective watermarking algorithms have been proposed and implemented for digital images anddigital video. However, a few algorithms have been proposed for audio watermarking. This is due to thefact that, human auditory system (HAS) is far more complex and sensitive than human visual system (HVS).In this research work, a new method of embedding image data into the audio signal and additive audiowatermarking algorithm based on Discrete Cosine Transformation (DCT) domain is proposed. First, theoriginal audio is transformed into DCT domain. The DCT coefficients are divided into a fixed number ofsubsections and the energy of each subsection is calculated. Next, watermark is generated from image byimage processing algorithm. Watermarks are then embedded into selected peaks of highest energysubsection. Experimental results demonstrate that the watermark is inaudible and this algorithm is robustto common operations of digital audio signal processing, such as noise addition, re-sampling, requantizationand so on. To evaluate the performance of the proposed audio watermarking method,subjective and objective quality tests including Bit Error Rate (BER) and Signal to Noise ratio (SNR) areconducted.
关键词：Audio watermarking; Discrete Cosine Transformation; Arnold Transformation; BER; SNR.