Twofold of algebraic decomposition method used for a watermarking scheme with $LWT$ over medical images | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 94، دوره 13، شماره 1، خرداد 2022، صفحه 1123-1129 اصل مقاله (701.16 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5655 | ||
| نویسندگان | ||
| Areej M. Abduldaim* 1؛ Anwar Khalel Faraj2 | ||
| 1University of Technology, Department of Applied Sciences, Baghdad 10001, Iraq | ||
| 2applied science department, university of technology, Baghdad, Iraq | ||
| چکیده | ||
| Mathematics has always been of great importance in various sciences, especially computer science. The mechanism used to embed various types of information in a host medical images to safeguard the privacy of the patient including the patient's name, doctor's digital signature is called watermarking. There are a lot of improved watermark algorithms, however, this information is susceptible to attack when the data are transferred over universal internet channels. This paper proposed a robust watermark algorithm that uses a Lifting Wavelet Transform $(LWT)$ and two times of the Hessenberg Matrix Decomposition Method $(HMDM)$ to embed a watermark in a chosen channel of the host image after performing the transform. The experimental results demonstrate that the improvement appears (higher robustness against $JPEG$ compression attack) and good imperceptibility against some attacks, to evaluate the fineness of the original with watermarked images and the extracted watermark respectively. | ||
| کلیدواژهها | ||
| Hessenberg Matrix Decomposition Method (HMDM)؛ Lifting Wavelet Transform (LWT)؛ Image Watermarking | ||
| مراجع | ||
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