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An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images

机译：基于单值解压缩，多级DWT和小波融合的高效且鲁棒的水印方法与加扰医学图像

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摘要

This paper offers a medical image watermarking approach based on Wavelet Fusion (WF), Singular Value Decomposition (SVD), and Multi-Level Discrete Wavelet Transform (M-DWT) with scrambling techniques for securing the watermarks images. The proposed approach can be used for providing multi-level security in various applications such as military, copyright protection, and telemedicine systems. The key idea of the projected approach is to first combine two digital watermark images into a single fused watermark to increase the embedded information payload. Then, the fused watermark is scrambled using Arnold and Chaotic algorithms. Finally, the scrambled fused watermark is embedded in the cover image using the SVD and three-level DWT algorithms. The selection of the Arnold and chaotic for watermark encryption is attributed to confirm robustness which resists several types of multimedia attacks and upturn the security level. This paper also presents a comparative study of the proposed approach for different digital images to determine its robustness and stability. Several simulation results reveal that the proposed system improves the capacity and security of embedded medical watermarks without affecting the cover image quality. In conclusion, the proposed approach achieved not only precise acceptable perceptual quality with admired Peak Signal-to-Noise Ratio (PSNR) values but similarly high Correlation Coefficient (Cr) and SSIM values in the existence of severe attacks.
机译：本文提供了一种基于小波融合（WF），奇异值分解（SVD）的医学图像水印方法，以及多级离散小波变换（M-DWT），具有用于保护水印图像的扰扰技术。所提出的方法可用于在各种应用中提供多级安全性，例如军事，版权保护和远程医疗系统。预计方法的关键思想是首先将两个数字水印图像组合成一个融合水印，以增加嵌入信息有效载荷。然后，使用Arnold和混沌算法扰乱融合水印。最后，使用SVD和三级DWT算法嵌入了加扰的熔融水印。选择Arnold和混沌用于水印加密，归因于确认抗拒多种多媒体攻击和Upturn安全级别的鲁棒性。本文还介绍了不同数字图像的提出方法的比较研究，以确定其鲁棒性和稳定性。几个仿真结果表明，该系统提高了嵌入式医疗水印的能力和安全性，而不会影响覆盖图像质量。总之，所提出的方法不仅实现了具有尊重峰值信噪比（PSNR）值的精确可接受的感知质量，而是在存在严重攻击时具有同样高的相关系数（CR）和SSIM值。

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