Wavelet Transform Based Steganography

Riya Gupta,Riya Tyagi, Prachi Sahansarval, Nitika Tyagi

semanticscholar(2019)

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摘要
1,2,3,4 Student, Dept. of Computer Science & Engineering, Inderprastha Engineering College, U.P., India ----------------------------------------------------------------------***--------------------------------------------------------------------Abstract Information security is one of the most important factors to be considered when secret information has to be communicated between two parties. There are two techniques used for this purpose: Cryptography and steganography. Cryptography scrambles the information, but it reveals the existence of the s e c r e t i n f o r m a t i o n . Whereas Steganography hides the actual existence of the information so that anyone other than sender and the recipient cannot recognize the transmission. In steganography the secret information is made invisible by hiding it in some other carrier wave. In this paper an image steganography techniques 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. Peak Signal to Noise Ratio(PSNR) , Structural Similarity Index Metric (SSIM) are used to measure quality of stego image. Signal to Noise Ratio (SNR), Squared Pearson Correlation Coefficient (SPCC) are used to measure quality of extracted secret audio signal. The results show good values for these metrics.
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