| Abstrakt: |
Presently, telemedical services in different forms are being exploited for the distribution of medical amenities. Security necessities including privacy, integrity, and authenticity require close attention and remedial actions. In this respect, watermarking techniques are providing a probable way to adequately handle the issues mentioned earlier. High embedding capacity and strong recovery are challenging issues for watermarking schemes. In addition, current techniques lack resilience against a variety of signal-processing assaults. This study presents a high embedding capacity-based ECG signal watermarking approach that embeds a fused watermark image, which is a composite of two medical images of the same dimensions, into the host ECG signal. Initially, VMD (Variational Mode Decomposition) is utilized to reduce the MA (Muscle Artifacts) noise. A hybridization of RDWT (redundant discrete wavelet transform)-MSVD (Multiresolution singular valued transform) is used to hide the fused image in the denoised carrier signal. The combination of transforms used provides shift-invariance, large embedding capacity, and computational efficiency. The imperceptibility of the suggested scheme has been measured in terms of peak signal-to-noise ratio and similarity structure index mode, whereas the scheme's robustness has been determined using NC (Normalized correlation). Finally, an experimental and comparative evaluation of the proposed framework justifies its versatility, robustness, and imperceptibility with the best improvement with other existing techniques. [ABSTRACT FROM AUTHOR] |
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