摘要
文章提出一种基于离散小波变换(DWT)、Hessenberg分解(HD)和奇异值分解(SVD)的图像水印方法。在嵌入过程中,对原始载体图像进行多级DWT分解,并将得出的子带系数作为HD的输入。在创建水印的同时对SVD进行操作,通过缩放因子将水印嵌入到主图像中。运用果蝇优化算法,通过给出的客观评价函数来寻找比例因子。在各种欺骗攻击下,将所提出的方法与其他方法进行比较,实验结果表明,该方法对水印具有良好的鲁棒性和不可见性。
This paper proposes an image watermarking method based on discrete wavelet transform(DWT),Hessenberg decomposition(HD)and singular value decomposition(SVD).In the embedding process,the original carrier image is decomposed by multi-level DWT,and the obtained subband coefficients are used as the input of HD.While creating the watermark,the SVD is operated,and the watermark is embedded into the main image through the scaling factor.Using the fruit fly optimization algorithm,the scale factor is found through the given objective evaluation function.Under various spoofing attacks,the proposed method is compared with other methods.The experimental results show that this method has good robustness and invisibility to watermark.
作者
甘志超
刘丹
GAN Zhichao;LIU Dan(School of Public Security Information Technology and Information,Criminal Investigation Police University of China,Shenyang 110854,China)
出处
《现代信息科技》
2022年第1期40-42,47,共4页
Modern Information Technology
