The purpose of this study is to develop a robust image
steganography system that enhances the security of hidden communications by
employing the Least Significant Bit (LSB) and Discrete Wavelet Transform (DWT)
methods. The research aims to improve the robustness of the steganographic
process and evaluate the effectiveness of these techniques. The study
implements image steganography using two techniques: the Least Significant Bit
(LSB) method and the Discrete Wavelet Transform (DWT) method. The performance of
these algorithms is evaluated using key metrics such as Mean Squared Error
(MSE), Bit Error Rate (BER), Peak Signal-to-Noise Ratio (PSNR), and processing
time. The LSB method achieved PSNR values ranging from 42 to 46 dB and MSE
values between 1.5 and 3.5. In contrast, the DWT method demonstrated superior
performance, with PSNR values ranging from 49 to 57 dB and MSE values from 0.2
to 0.7. These results indicate that the DWT method provides higher performance
and robustness compared to the LSB technique. The Discrete Wavelet Transform
(DWT) method outperforms the Least Significant Bit (LSB) technique, offering
better PSNR and lower MSE values. This makes DWT a more robust and efficient
solution for image steganography, particularly in scenarios requiring high
security and minimal image distortion.
Author(s) Details
Mangal Patil
Department of ECE, Bharati Vidyapeeth (Deemed to be
University) College of Engineering, Pune, India.
Shankar Madkar
Department of ECE, Bharati Vidyapeeth (Deemed to be
University) College of Engineering, Pune, India.
Jyoti Morbale
Department of ECE, Bharati Vidyapeeth (Deemed to be
University) College of Engineering, Pune, India.
Harshal Hemane
Department of ECE, Bharati Vidyapeeth (Deemed to be
University) College of Engineering, Pune, India.
Please see the book here:- https://doi.org/10.9734/bpi/srnta/v6/2197
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