Abstract
The modern internet technology enables unauthorized individuals to alter the content of digital images. This work introduces a method for enhancing the robustness of an embedded watermark in images using Lifting Wavelet Transform (LWT) and Hessenberg Decomposition. This study utilizes Hessenberg Decomposition (HD) to insert a watermark image into the LL-sub band of the LWT transform. Singular Value Decomposition (SVD) is employed to convert the H value of HD. Subsequently, the watermark imageis put into the singular value. The suggested system underwent testing against a range of image processing assaults, including compression, filters, and noise additions. The testing was conducted using multiple watermark sizes, specifically 256×256, 128×128, and 64×64 pixels. The experimental results demonstrate exceptional imperceptibility, with an average PSNR value of 39.5640 dB and a SSIM value of 0.9993. The results demonstrate a high level of resilience, as indicated by the NC value of 0.96390
Recommended Citation
Ernawan, Ferda; Sudrajat, Agung; and Amrullah, Agit
(2024)
"Robust Image Watermarking Based on LiftingWavelet Transfrom-Hessenberg Decomposition for Copyright Protection,"
Iraqi Journal for Computer Science and Mathematics: Vol. 5:
Iss.
3, Article 31.
DOI: https://doi.org/10.52866/ijcsm.2024.05.03.043
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol5/iss3/31
