使用两级分割的空间域盲稳健图像水印算法

Liangjia Li, Yuling Luo, Junxiu Liu, Senhui Qiu
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引用次数: 0

摘要

为了提高盲图像水印技术的性能,本文提出了一种新颖的空间域盲鲁棒性图像水印方案,即应用两级分割。具体来说,首先将主图像分割成不重叠的 4 × 4 子块,同时计算所有子块的标准偏差。然后,选择标准偏差较小的子块,并将每个选定的子块划分为四个不重叠的 2 × 2 子块。然后,在空间域计算三个 2 × 2 子块(即左上角、右上角和左下角子块)的直流系数,而不进行二维离散余弦变换。最后,利用相邻 2 × 2 子块之间的相关性原理,通过调整三个 2 × 2 子块的直流系数,将两个比特的水印嵌入到一个 4 × 4 子块中。实验结果表明,所提出的图像水印方案适用于灰度和彩色图像,并具有良好的隐蔽性和鲁棒性。其中,在各种攻击下,所有峰值信号噪声比均大于 42 dB,所有结构相似性指数均大于 0.96,归一化相关性均大于 0.85。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Blind and Robust Image Watermarking Algorithm in the Spatial Domain using Two-level Partition

A Blind and Robust Image Watermarking Algorithm in the Spatial Domain using Two-level Partition

To improve the performance of the blind image watermarking technique, a novel blind and robust image watermarking scheme in the spatial-domain by applying a two-level partition is proposed in this work. Specifically, the host image is firstly partitioned into non-overlapping 4 × 4 sub-blocks, and the standard deviations of all sub-blocks are computed in the meanwhile. Then, the sub-blocks with lower standard deviation are selected, and each selected block is partitioned into four non-overlapping 2 × 2 sub-blocks. Thereafter, the direct current coefficients of three 2 × 2 sub-blocks (i.e., top-left, top-right, and bottom-left sub-blocks) are computed in the spatial-domain without carrying out the two-dimensional discrete cosine transform. Lastly, utilizing the correlation principle between adjacent 2 × 2 sub-blocks, two bits of watermark are embedded into a 4 × 4 sub-block via adjusting the direct current coefficients of the three 2 × 2 sub-blocks. Experimental results show that the proposed image watermarking scheme is suitable for gray-scale and color images, and possesses a good performance in terms of invisibility and robustness. In particular, all peak signal noise ratios are greater than 42 dB, all structural similarity index measures are more than 0.96, and the normalized correlations are greater than 0.85 under various attacks.

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