Steganography is the method of conveying camouflage data over a suitable multimedia carrier, such as text, image, audio, or video files. The idea behind this is that if a feature is visible, the attack point is also apparent; hence, the objective is always to hide the embedded data’s existence. One of the most popular techniques for concealing sensitive information is image steganography. Despite advances in steganography, little investigation has been done on the use of different DWT sub-bands for image steganography. With regard to image steganography, the purpose of this study is to assess and contrast the effectiveness of various DWT sub-bands. Using all the sub-bands for comparison analysis based on quantitative metrics, including Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), and Structural Similarity Index Matrix (SSIM), this paper adopted a secret image of the same size as the cover image. In comparison to the other two sub-bands, the experimental findings show that embedding in the middle frequency sub-bands yields more efficient results by achieving an average PSNR of 44.5 dB.

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A Comparative Analysis of Image Steganography Using Discrete Wavelet Transform Sub-bands

  • Mukesh Dalal,
  • Payal Mittal

摘要

Steganography is the method of conveying camouflage data over a suitable multimedia carrier, such as text, image, audio, or video files. The idea behind this is that if a feature is visible, the attack point is also apparent; hence, the objective is always to hide the embedded data’s existence. One of the most popular techniques for concealing sensitive information is image steganography. Despite advances in steganography, little investigation has been done on the use of different DWT sub-bands for image steganography. With regard to image steganography, the purpose of this study is to assess and contrast the effectiveness of various DWT sub-bands. Using all the sub-bands for comparison analysis based on quantitative metrics, including Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), and Structural Similarity Index Matrix (SSIM), this paper adopted a secret image of the same size as the cover image. In comparison to the other two sub-bands, the experimental findings show that embedding in the middle frequency sub-bands yields more efficient results by achieving an average PSNR of 44.5 dB.