DS-AT: An efficient watermarking technique based on Arnold transform in DCT and SVD domain
Mukesh Saraswat, Raju Pal, Roop Singh · Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing · 2022
The researchers have a difficult task in preserving the trade-off between robustness and imperceptibility. To address this problem, this paper presents a discrete cosine transform (DCT)-singular value decomposition (SVD)-based watermarking technique. This technique initially partitioned the host image into 8 × 8 DC blocks followed by DCT. The encrypted watermark logo by the Arnold transform is concealed into the SVD blocks of host image. The performance of the presented technique is measured against Lena and Barbara images under ten watermarking attacks in terms of PSNR and NC. The simulation results validate that the proposed techniques performs well than the compared watermarking schemes.