Robust image watermarking based on lifting wavelet transfrom- hessenberg decomposition for copyright protection
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 Dec...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
College of Education, Al-Iraqia University
2024
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| Online Access: | https://umpir.ump.edu.my/id/eprint/46225/1/_Robust%20Image%20Watermarking%20Based%20on%20LiftingWavelet%20Transfrom-Hessenberg%20Decomposition%20for%20Copyright%20Protection.pdf https://doi.org/10.52866/ijcsm.2024.05.03.043 https://umpir.ump.edu.my/id/eprint/46225/ |
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| Summary: | 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 |
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