Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Journal Article
Publisher : Wiley Online Library
Source : International Journal of Imaging Systems and Technology
Url : https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22477
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2021
Abstract : The article presents a novel ECG steganography scheme based on the tunable Q-factor wavelet transformation (TQWT) and also singular value decomposition (SVD) techniques that ensure better safety and confidentiality of patient information. Initial parameters such as Q, r, and J are used to decompose the cover signal into individual frequency sub-bands with the tunable Q-factor wavelet transform (TQWT). The singular value decomposition (SVD) technique is used to further decompose high-frequency sub-band coefficients into singular values. The watermark information is then embedded with high-frequency sub-band coefficients by involving the quantization process. The performance of this proposed system is successfully evaluated by considering various metrics, such as peak signal to noise ratio (PSNR), structural similarity index (SSIM), percentage residual difference (PRD), and bit error rate (BER). The simulation results of the proposed scheme are observed to be better than other traditional algorithms
Cite this Research Publication : Mathivanan, P., & Ganesh, A. B, "ECG steganography based on Tunable Q-Factor Wavelet Transform and Singular value decomposition", International Journal of Imaging Systems and Technology, Volume31, Issue1
Marc2021
Pages 270-287