Abstract
One of the most popular techniques in image steganography is the Least Significant Bit (LSB) operation, which involves inserting secret data into the cover image's pixels' least significant bit. However, the amount of secret data that can be concealed in the cover image depends on the number of bits used for embedding. In this paper, a novel hybrid steganographic system based on Discrete Wavelet Transform (DWT) and Least Significant Bit (LSB) for image steganography is proposed. The proposed scheme aims to optimize data security by utilizing LSB and DWT techniques to embed secret data into an image robustly and efficiently. The present paper focuses on evaluating the algorithm performance by comparing the encrypted image quality using metrics such as PSNR, RMSE, and SSIM. The experimental results showed that the suggested method outperforms the existing LSB-based in terms of security performance. These results indicated that the proposed method consistently outperforms the conventional LSB-based method across all bit depths tested, with an overall improvement of 14.12% in PSNR, 41.87% in RMSE, and 4.02% in SSIM over the traditional LSB. The proposed method enhanced the PSNR values, reduced the RMSE values, and increased the SSIM values for all bit depths tested, indicating higher image fidelity, less distortion, and better preservation of structural similarity of the original image.
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Environmental Science (miscellaneous),Chemical Engineering (miscellaneous),Civil and Structural Engineering,Environmental Engineering
Reference25 articles.
1. Gulati S, Bashir A, Mir AH. Comparative Study of LSB and DWT Based Steganography Combined with Arnold Transformation for Image Security. Journal of Information System Security 2022;18(1):63-80.
2. Kadhim IJ, Premaratne P, Vial PJ, Halloran B. Comprehensive Survey of Image Steganography: Techniques, Evaluations, and Trends in Future Research. Neurocomputing 2019; 335 :299-326.
3. Douglas M, Bailey K, Leeney M, Curran K. An Overview of Steganography Techniques Applied to the Protection of Biometric Data. Multimedia Tools and Applications 2018; 77(13):17333-17373.
4. Rajendran S, Doraipandian M. Chaotic Map Based Random Image Steganography Using LSB Technique. International Journal of Network Security 2017;19(4):593-598.
5. Hussain M, Wahab AWA, Idris YIB, Ho AT, Jung K-H. Image Steganography in Spatial Domain: A Survey. Signal Processing: Image Communication 2018; 65:46-66.