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An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD

机译:基于DWT和2-D SVD的医学和非医学图像安全性增强混合图像水印方案

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In this paper, we proposed a blind image watermarking scheme to enhance the effectiveness of hybrid Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) based schemes using the second level of SVD. The foremost contribution of this paper is to eliminate the constraints of our previous proposed scheme based on DWT and 2-level SVD. In the previous scheme, the size of the watermark was dependent to the size of cover image. For example, for a cover image with the size of 512*512, the watermark should be changed to 64*64 because of the limitation in capacity. In the proposed scheme, we enhanced the scheme to be independent from the sizes of cover and watermark images as well as improving the robustness and imperceptibility. For this purpose, we presented image blocking to find optimum block size for embedding the watermark and to correct the enslavement of capacity with the host image size. To achieve these goals, an additional preprocessing is performed on the watermark image before watermark embedding. The watermark image will be duplicated redundantly to the size of the cover image. Then both cover and watermark images will be divided into non overlap 16*16 blocks. Also, security is ensured in this scheme by proposing a two-level authentication system for watermark extraction to detect both false positive and false negative problems. The proposed scheme is tested and certified for medical and non-medical images exposing on 10 types of signal processing and geometric attacks. Experimental result shows, significant enhancement in both imperceptibility and robustness with the average of 46.9496 db and more than 99% respectively, while image blocking makes the capacity independent from the size of the host image. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,我们提出了一种盲图像水印方案,以提高使用第二级SVD的混合离散小波变换(DWT)和奇异值分解(SVD)方案的有效性。本文的首要贡献是消除我们先前基于DWT和2级SVD提出的方案的约束。在以前的方案中,水印的大小取决于封面图像的大小。例如,对于容量为512 * 512的封面图像,由于容量限制,水印应更改为64 * 64。在提出的方案中,我们对方案进行了增强,使其独立于封面和水印图像的大小,并提高了鲁棒性和不可感知性。为此,我们提出了图像分块,以找到用于嵌入水印的最佳块大小,并纠正主机图像大小对容量的约束。为了实现这些目标,在水印嵌入之前对水印图像执行附加的预处理。水印图像将被重复复制到封面图像的尺寸。然后,封面图像和水印图像将被划分为非重叠的16 * 16块。而且,通过提出用于水印提取的两级认证系统以检测错误肯定和错误否定问题来确保该方案的安全性。所提议的方案已针对经过10种类型的信号处理和几何攻击的医学和非医学图像进行了测试和认证。实验结果表明,在不可感知性和鲁棒性方面的显着增强分别达到46.9496 db和99%以上的平均值,而图像分块使容量与宿主图像的大小无关。 (C)2019 Elsevier B.V.保留所有权利。

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