量子电子学报, 2018, 35 (5): 527, 网络出版: 2018-10-07   

基于分块的空间域量子图像水印算法

Quantum image watermarking algorithm based on blocked spatial domain
作者单位
河南理工大学计算机科学与技术学院, 河南 焦作 454000
摘要
基于空间域的最低有效位(Least significant bit, LSB)图像水印和量子图像表示(Novel enhanced quantum representation, NEQR) 模型,提出了一种新的更加安全的量子图像水印算法。 通过对载体图像进行分块,使水印图像能较均匀地嵌入载体图像的每个区域中,因此算法具有良好的 抗剪切性;在水印嵌入之前通过密钥对水印图像进行置乱,因此算法有很好的安全性;通过一个量子 比特比较器确定水印嵌入在载体图像空间域中的具体位置,因此算法体现出较好的稳健性。所提算法 采用单一运算方法,具有相对较低的复杂度和更高的峰值信噪比(Peak signal-to-noise ratio, PSNR)。针对具体的嵌入和提取电路图设计了实验仿真,验证了算法的可行性。实验结果表明所提算法有较高的PSNR。
Abstract
Based on the least significant bit(LSB) image watermarking in spatial domain and a novel enhanced quantum representation(NEQR) quantum image representation model, a new and more secure quantum image watermarking algorithm is proposed. By dividing the carrier image into blocks, the watermarking image can be embedded more uniformly in every region of the carrier image, so the algorithm has good shearing resistance. The watermarking image is scrambled with the key before embedding the watermark, so the algorithm has good security. A quantum bit comparator is used to determine the specific location of the watermark embedded in the spatial domain of the carrier image, so the algorithm reflects better robustness. The proposed algorithm adopts a single operation method, and it has relatively low complexity and higher peak signal-to-noise ratio(PSNR). The experimental simulation is designed for the specifically embedded and extracted circuit diagram, and feasibility of the proposed algorithm is verified. Experimental results show that the proposed algorithm has a higher PSNR.

郭海儒, 杜娅颖, 许权. 基于分块的空间域量子图像水印算法[J]. 量子电子学报, 2018, 35(5): 527. GUO Hairu, DU Yaying, Xu Quan. Quantum image watermarking algorithm based on blocked spatial domain[J]. Chinese Journal of Quantum Electronics, 2018, 35(5): 527.

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