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A lossless self-recovery watermarking scheme with JPEG-LS compression
Journal of Information Security and Applications ( IF 3.8 ) Pub Date : 2021-02-09 , DOI: 10.1016/j.jisa.2020.102733
You Zhaoning , Liu Yan , Gao Tiegang

Due to the rapid development of application for medical images in recent years, the security of medical images becomes more vital. In this paper, a fragile watermarking scheme for medical images is proposed. The proposed scheme first divides the whole medical image into ROI (Regions of Interest) and RONI (Regions of Non-interest). Then the JPEG-LS algorithm is applied to ROI to get the compressed data which will be embedded into the whole medical image. And then, image encryption methods are used to assure the invisibility of the medical image. At last, a POB number system enhances the security of the scheme. With the use of the scheme in this paper, we can judge whether the medical image is tampered or not, and can also recover the original medical images in specific conditions without any loss. Moreover, if the medical image is tampered, we can also localize the tampered regions. Experimental results show that the suggested scheme achieves a better performance on security, invisibility and robustness in comparison to the state-of-the-art methods for medical images.



中文翻译:

JPEG-LS压缩的无损自恢复水印方案

由于近年来医学图像应用的快速发展,医学图像的安全性变得越来越重要。本文提出了一种脆弱的医学图像水印方案。提出的方案首先将整个医学图像分为ROI(感兴趣区域)和RONI(非感兴趣区域)。然后将JPEG-LS算法应用于ROI,以获得将被嵌入到整个医学图像中的压缩数据。然后,使用图像加密方法来确保医学图像的不可见性。最后,POB号码系统增强了该方案的安全性。利用本文中的方案,我们可以判断医学图像是否被篡改,还可以在特定条件下恢复原始医学图像而不会造成任何损失。而且,如果医学图像被篡改,我们还可以定位被篡改的区域。实验结果表明,与最新的医学图像方法相比,该方案在安全性,隐身性和鲁棒性方面具有更好的性能。

更新日期:2021-02-09
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