doi: 10.7763/IJCTE.2012.V4.565
2-D CAT-Based Medical Image Watermarking Algorithm
- 1Department of Information and Communications Engineering, Pukyong National University, 599-1, Busan, Republic of Korea.
- 2Department of Applied Mathematics, Pukyong National University, 599-1, Daeyeon 3-Dong, Nam-Gu, Busan, Republic of Korea.
Abstract
Digital watermarking has been proposed to increase medical image security, confidentiality and integrity. This paper proposes a secure watermarking system using Arnold scrambling and 2-D Cellular Automata Transform (CAT). In the first step, the original image is decomposed into two levels by CAT transform. Then the watermark is scrambled using Arnold‟s scrambling algorithm and decomposed into one level by CAT transform. At last, the LL, HL, LH and HH sub bands of the watermark are embedded into the „low-low frequency‟ and „middle frequency‟ of the original image respectively. This algorithm is tested on medical images “BODY” and “VESSEL” (512x512, gray scale) with binary watermark of size 256x256. Experiment results show that our CAT-based watermarking system can simultaneously improve security, robustness and image quality of the watermarked image.
Keywords
- Arnold scrambling
- cellular automata transform
- digital watermarking
How to Cite
Xiao-Wei Li, Sung-Jin Cho, and Seok-Tae Kim, "2-D CAT-Based Medical Image Watermarking Algorithm," International Journal of Computer Theory and Engineering, vol. 4, no. 5, pp. 722-725, 2012. https://doi.org/10.7763/IJCTE.2012.V4.565
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).