文章基本信息

标题：X-Ray Image Authentication Scheme Using SLT and Contourlet Transform for Modern Healthcare System
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作者：Vijay Krishna Pallaw ; Kamred Udham Singh
期刊名称：Journal of Universal Computer Science
印刷版ISSN：0948-6968
出版年度：2022
卷号：28
期号：9
页码：916-929
DOI：10.3897/jucs.94132
语种：English
出版社：Graz University of Technology and Know-Center
摘要：The network’s convenience has created a copyright dilemma for some multimedia works. Nowadays, every healthcare system relies on digital medical images for diagnosis. These medical images are transmitted through communication channels, so there is a risk of tampering and copyright violation. A digital watermarking system can ensure and guarantee that tampering and copyright violation are prevented. This study presents a nonblind digital watermarking approach to X-ray medical images based on Contourlet transform (C.T.) and Slantlet Transform (SLT). Since the two-dimensional signals are represented flexibly by contourlet transforms, the contour plot can be used efficiently to represent curves and smooth contours. At the same time, the SLT has better time-localization & smoothness properties. The maximum energy of an image is conceived in the LL band if SLT transform are employed. Therefore, the LL band is used to entrench the watermark. The additive quantization method has been used to entrench the watermark. The efficiency of our scheme is assessed by different quality parameters and compared with several existing schemes. The results of the experiment show that the proposed scheme performs better and has the ability to resist several attacks.