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首页> 外文期刊>Procedia Computer Science >Wavelet Transform Based Steganography Technique to Hide Audio Signals in Image
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Wavelet Transform Based Steganography Technique to Hide Audio Signals in Image

机译:基于小波变换的隐写技术隐藏图像中的音频信号

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Information security is one of the most important factors to be considered when secret information has to be communicated between two parties. Cryptography and steganography are the two techniques used for this purpose. Cryptography scrambles the information, but it reveals the existence of the information. Steganography hides the actual existence of the information so that anyone else other than the sender and the recipient cannot recognize the transmission. In steganography the secret information to be communicated is hidden in some other carrier in such a way that the secret information is invisible. In this paper an image steganography technique is proposed to hide audio signal in image in the transform domain using wavelet transform. The audio signal in any format (MP3 or WAV or any other type) is encrypted and carried by the image without revealing the existence to anybody. When the secret information is hidden in the carrier the result is the stego signal. In this work, the results show good quality stego signal and the stego signal is analyzed for different attacks. It is found that the technique is robust and it can withstand the attacks. The quality of the stego image is measured by Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM), Universal Image Quality Index (UIQI). The quality of extracted secret audio signal is measured by Signal to Noise Ratio (SNR), Squared Pearson Correlation Coefficient (SPCC). The results show good values for these metrics.
机译:信息安全性是必须在两方之间传送秘密信息时要考虑的最重要因素之一。密码术和隐写术是用于此目的的两种技术。密码学将信息打乱,但它揭示了信息的存在。隐写术隐藏了信息的实际存在,因此发送者和接收者以外的任何人都无法识别传输。在隐写术中,要传送的秘密信息以某种方式隐藏在其他载体中,从而使秘密信息不可见。本文提出了一种图像隐写技术,利用小波变换将音频信号隐藏在变换域中。任何格式(MP3或WAV或任何其他类型)的音频信号都被加密并由图像携带,而不会向任何人透露其存在。当秘密信息隐藏在载体中时,结果就是隐身信号。在这项工作中,结果显示了高质量的隐身信号,并针对不同的攻击对隐身信号进行了分析。发现该技术是鲁棒的并且可以承受攻击。隐秘图像的质量通过峰值信噪比(PSNR),结构相似性指标度量(SSIM),通用图像质量指标(UIQI)进行测量。提取的秘密音频信号的质量通过信噪比(SNR),平方皮尔逊相关系数(SPCC)进行测量。结果显示出这些指标的良好价值。

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