基于小波变换和人类视觉系统的盲数字水印算法

随着因特网的发展，数字水印技术被广泛应用于数字图像、音频、视频等多媒体产品的版权保护。按照水印检测的方式可把数字水印分为盲水印和明文水印。文中提出了一种基于小波变换和人类视觉系统的盲数字水印算法，首先将水印图像利用Arnold混沌映射进行置乱，对宿主图像进行小波分解，然后通过改变两个小波子带相应系数的大小关系来嵌入水印信息。其中对相应小波系数修改权值的设置，利用了基于小波域的人眼视觉系统的特点。提取水印不需要原始图像。实验表明该算法在抵抗JPEG压缩、剪切和盐椒噪声等攻击有比较好的鲁棒性。

Blind Digital Watermarking Algorithm Based on Wavelet Transform and Human Visual System

With the development of the Internet,watermarking technology has been widely used in digital image,video,audio,and other multimedia fields.As according to watermark detection,watermark was divided into blind watermark and plaintext watermark.Presents a blind digital watermarking algorithm based on wavelet transform and human visual system.The proposed scheme utilize firstly Arnold chaotic map to scramble watermark and decompose the host image through wavelet transform.Then embedding is completed by enforcing the relationship between the subband coefficients and approximate coefficients.The strength of the corresponding coefficients of watermarking by applying DWT is modified through using the human visual characteristics.The original image is not required for detecting the watermarks.The experimental results demonstrate that the proposed scheme is robust against compressed by JPEG,cropping and salt and pepper noise.