Robust Image Watermarking Based on Lifting Wavelet Transfrom-Hessenberg Decomposition for Copyright Protection

被引：0
作者：
Sudrajat, Agung [1 ]
Ernawan, Ferda [1 ,2 ]
Amrullah, Agit [3 ]
机构：
[1] Faculty of Information Technology, Universitas Nusa Mandiri, Pasar Minggu Jakarta Selatan, Jakarta
[2] Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang, Pekan
[3] Faculty of Computer Science, Universitas AMIKOM, Ring Road Utara Condong Catur Sleman, Yogyakarta
来源：
Iraqi Journal for Computer Science and Mathematics | 2024年 / 5卷 / 03期
关键词：
copyright protection; hessenberg decomposition; image watermarking; lifting wavelet transform; watermark;
D O I：
10.52866/ijcsm.2024.05.03.043
中图分类号：
学科分类号：
摘要：
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 image is 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. © 2024 College of Education, Al-Iraqia University. All rights reserved.
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收藏
页码：695 / 706
页数：11
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