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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 9, 2013.
Abstract: Applying security to the transmitted medical images is important to protect the privacy of patients. Secure transmission requires cryptography, and watermarking to achieve confidentiality, and data integrity. Improving cryptography part needs to use an encryption algorithm that stands for a long time against different attacks. The proposed method is based on number theory and uses Chinese remainder theorem as a backbone. This approach achieves high level of security and stands against different attacks for a long time. On watermarking part, the medical image is divided into two regions: a region of interest (ROI) and a region of background (ROB). The pixel values of the ROI contain the important information so this region must not experience any change. The proposed watermarking technique is based on dividing the medical image in to blocks and inserting the watermark to the ROI by shifting the blocks. Then, an equivalent number of blocks in the ROB are removed. This approach can be considered as lossless since it does not affect on the ROI, also it does not increase the image size. In addition, it can stand against some watermarking attacks such cropping, and noise.
Ahmed Mahmood, Tarfa Hamed, Charlie Obimbo and Robert Dony, “Improving the Security of the Medical Images” International Journal of Advanced Computer Science and Applications(IJACSA), 4(9), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040922
@article{Mahmood2013,
title = {Improving the Security of the Medical Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040922},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040922},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {9},
author = {Ahmed Mahmood and Tarfa Hamed and Charlie Obimbo and Robert Dony}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.