首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波包分解的自适应盲脆弱水印算法
引用本文:信丽萍.基于小波包分解的自适应盲脆弱水印算法[J].宁夏师范学院学报,2009,30(6):52-55.
作者姓名:信丽萍
作者单位:北方民族大学,电气信息工程学院,宁夏,银川,750021
基金项目:北方民族大学课题资助项目 
摘    要:提出了基于图像内容自嵌入功能的脆弱水印算法.算法的新颖之处在于能区分图像内容、水印还是两者同时被篡改,由原图像高7位的一级小波低频系数量化得压缩图像,转换成二进制作为水印,混沌置乱加密后嵌入到原图像的LSB.认证时,由认证图像高7位制作的水印与提取水印的差值来确定图像是否遭到窜改,可定位篡改位置.实验结果表明:与Y-M算法相比峰值信噪比提高了5个dB,与WONG算法相比峰值信噪比提高了3个dB,实现了盲检测,而且该算法能够检测常见的攻击如噪声、几何剪切、滤波等.

关 键 词:脆弱水印  小波分解  混沌系统  自适应

Adaptive Blind Fragile Watermarking Algorithm Based on Wavelet Packets
XIN Liping.Adaptive Blind Fragile Watermarking Algorithm Based on Wavelet Packets[J].Journal of Ningxia Teachers College,2009,30(6):52-55.
Authors:XIN Liping
Institution:XIN Liping (Institute of Electrical and Information Engineering, North University for Ethics, Yinchuan, Ningxia 750021 )
Abstract:A self-embedded fragile watermarking algorithm for image content authentication is proposed. The novelty of the algorithm is that it can distinguish between the content of the watermark image, which has been tampered at the same time. The compressed image, whose low-frequency wavelet coefficients of 7 most significant bits of original image are quantization, is converted into a binary sequence as the watermark is to be embedded. The improved security watermark scrambled by chaotic systems is embedded into the LSB of the image data. During image authentication, the proposed method is able to discriminate tampering on image contents or watermark from the difference image between the low-frequency compressed image and reconstructed image by watermark and detect the tampered location. The simulation results show that peak signa-to-noise ratio of the watermark image were 5 dB higher than Y-M algorithm and 3 dB than Wong's. The algorithm realized blind-detection. Meanwhile the algorithm is not only invisible, but also detects various processing such as noise adding, cropping, filtering and so on.
Keywords:Fragile watermarking  Wavelet packets  Chaos system  Adaptive
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号