Hybrid Blind Watermarking Using RDWT-DCT in Singular Value Decomposition Domain

Image watermarking plays a major role in the field of communication. Applying the watermarking on the symbol provides higher imperceptibility and robustness properties with cover data help. Thus, various implementations are focused on non-blind watermarking (NBW) schemes combined with various transformations to perform this watermarking. The NBW methods do not have the accurate functionality to provide the maximum imperceptibility, embedding capacity standards, and the lack of robustness, respectively. Thus, to overcome these problems, this article focuses on implementing the proposed watermarking framework that utilizes the singular value decomposition (SVD), discrete cosine transform (DCT), and redundant discrete wavelet transform (RDWT) jointly, so the properties of the threes methods function together and give the higher performance. The proposed RDWT-DCT-SVD watermarking scheme simulated and compared for the various quality metrics such as normalized correlation coefficient (NCC), root means square error (RMSE), and peak signal to noise ratio (PSNR). Comparing the various existing methods shows that the proposed method gives higher imperceptibility and robustness properties.