摘要
将冗余离散小波(RDWT)与矩阵Schur分解结合,提出了一种新式灰度图像盲检测数字水印算法。该算法将载体图像进行二级RDWT变换提取其逼近子图低频部分,并将分块后的每个块低频系数进行Schur分解,通过修改Schur分解后的上三角矩阵对角线上的最大能量元素完成对经Fibonacci变换加密后的水印图像的嵌入,水印的提取过程实现了盲提取。实验结果表明,该水印算法水印嵌入的时间仅为0.97s,平均提取水印时间为0.211s,与类似盲水印算法相比,不可见性的PSNR值提高了14.12%,抵抗高斯噪声攻击、椒盐噪声攻击和剪切几何攻击的能力也分别提高了21.32%、17.31%和27.83%。
Combining redundant discrete wavelet transform (RDWT) with matrix Schur composition, we propose a new digital watermarking algorithm for gray image blind detection. The algorithm firstly performs secondary RDWT on the carrier image and extracts the low frequency part of the approximate sub-graph. Then Schur decomposition is performed on the low frequency coefficients of each block after blocking procession, and the maximum energy elements on the diagonal of the upper triangular matrix are modified to complete the embedding of the watermark image which is encrypted by the Fibonacci transformation. Therefore, the watermark extraction process can achieve blind extraction. Experimental results show that the watermark embedding time of the proposed watermarking algorithm is only 0.97s, and the average watermark extraction time is 0.211s. Compared with similar blind watermarking algorithms, the PSNR value of invisibility is increased by 14.12%, and the resistance to Gaussian noise, salt and pepper noise attack and shear geometric attack by 21.32%, 17.31% and 27.83% respectively.
作者
郭鹏飞
冯琳
孙思宇
GUO Peng-fei;FENG Lin;SUN Si-yu(College of Software,Liaoning Technical University,Huludao 125105,China)
出处
《计算机工程与科学》
CSCD
北大核心
2019年第1期104-112,共9页
Computer Engineering & Science
基金
辽宁省教育厅科学技术研究项目(LJ2017QL032)
国家留学基金(201808210401)
