基于量子Haar小波变换的图像水印算法

Research on Image Watermarking Algorithm Based on Quantum Haar Wavelet Transform

量子计算理论与传统的数字水印技术的结合,从理论上真正解决了数字产品安全性保护的瓶颈问题,为信息安全产业的研究也指明了新的方向。文章基于小波变换理论及其在图像水印算法中的应用和在云安全计算、大数据等方面有着广泛应用前景的量子计算理论,提出了一种基于量子Haar小波变换的图像水印算法。算法首先将经典图像用量子图像的形式表示出来,然后对量子化后的矩阵做量子Haar小波变换,最后将文本水印信息嵌入到量子小波系数中,在经典计算机上以矩阵变换模拟量子计算机上的量子小波变换来完成水印信息的嵌入等过程。实验结果表明,该算法有较大的嵌入容量;嵌入水印信息前后图像的计算基矢和相邻像素点的关联度变化都很小,因此该算法有较好的水印嵌入质量。

The traditional digital watermarking technology is relatively mature, but there are some areas has not been fully involved in, such as quantum image watermarking technique and the certification is currently in the initial stage of developing. All of this really solve the bottleneck problem of digital product safety protection on the theoretically by combining quantum computing theory and traditional digital watermarking technology and pointed out a new direction for the information security industry research. Based on wavelet transform theory and its applications in image watermarking algorithm and quantum computing theory have a wide range of applications in cloud security computing and big data, a watermarking algorithm based on quantum Haar wavelet transform is proposed. Algorithm firstly show classic image by using the quantum image representation, then do the quantum Haar wavelet transform of matrix quantization, and lastly text watermarking information is embedded into the quantum wavelet coefficients. Finish process of embed information etc by using matrix transform in classic computer simulate quantum wavelet transform in quantum computer. Experiment result shows that this algorithm has a large embedding capacity, there just subtle change of calculation basis and adjacent pixels correlations of image before and after embedded watermark information, indicates this algorithm have a higher watermark embedding quality.