摘要
针对数字信息在存储或传输过程中可能受到复制、攻击或修改的问题,提出一种基于DWT和PNN的数字图像水印算法.该算法在基于块的小波系数中选择最佳位置嵌入水印图像,采用PNN记录水印与对应图像之间的关系,在不需要原始图像和水印图像的情况下,从嵌入水印的图像中恢复水印.使用PSNR和NCC对算法进行不可见性和鲁棒性测试.实验结果表明,本文算法提取的水印图像具有优秀的不可见性和鲁棒性,能够有效应对不同类型的攻击.
For the problems of the digital information in the process of storage or transmission may be copied,attacked or modified,a digital image watermarking algorithm based on Discrete Wavelet Transform(DWT)and Probabilistic Neural Network(PNN)is proposed.This algorithm screens the best position to embed the watermark image based on blocks of Wavelet Coefficients,and records the relationship between the watermark and the corresponding image by PNN so as to recover the watermark from the embedded watermark without the need of original image and watermark image.PSNR and NCC are used to verify the imperceptibility and robustness of the algorithm.Experimental results show that the proposed algorithm has excellent invisibility and robustness,and can effectively deal with the existing different kinds of attacks.
出处
《湘潭大学自然科学学报》
CAS
北大核心
2016年第3期89-93,共5页
Natural Science Journal of Xiangtan University
基金
国家星火计划
火炬计划项目(2015GH051184)
内蒙古自治区自然科学基金项目(2014MS0616)
内蒙古自治区高校基金项目(NJZY14091)
2016年度内蒙古自治区科技创新引导奖励资金项目
关键词
数字水印
离散小波变换
概率神经网络
峰值信噪比
归一化互相关
digital watermarking
discrete wavelet transform
probabilistic neural network
peak signalto-noise ratio
normalized cross correlation