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离散小波变换域鲁棒量化灰度水印算法
引用本文:叶天语.离散小波变换域鲁棒量化灰度水印算法[J].光电工程,2012,39(7):120-125.
作者姓名:叶天语
作者单位:浙江工商大学信息与电子工程学院,杭州,310018
摘    要:利用离散小波变换提出一种鲁棒量化灰度水印算法,采用按比例递减的量化步长将原始灰度水印图像的八个位平面通过奇偶量化方法分别嵌入原始载体图像具有对应重要性的八个小波子带。实验结果表明,算法在抵抗亮度和对比度调整、中值滤波、高斯低通滤波、添加高斯噪声、添加椒盐噪声和JPEG压缩上都表现出较强的鲁棒性。

关 键 词:数字水印  离散小波变换  量化  灰度水印  量化步长
收稿时间:2011/12/20

A Robust Quantization-based Gray Watermarking Algorithm in Discreet Wavelet Transform Domain
YE Tian-yu.A Robust Quantization-based Gray Watermarking Algorithm in Discreet Wavelet Transform Domain[J].Opto-Electronic Engineering,2012,39(7):120-125.
Authors:YE Tian-yu
Affiliation:YE Tian-yu(College of Information & Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,China)
Abstract:A robust quantization-based gray watermarking algorithm based on discreet wavelet transform is proposed, which respectively inserts the original gray watermark image’s eight bit planes into the eight wavelet sub-bands of corresponding importance from the original cover image through odd-even quantization using proportionally decreasing quantization steps. Experimental results show that it has strong robustness towards brightness-and-contrast adjustment, median filter, Gaussian low-pass filter, adding Gaussian noise, adding salt&pepper noise and JPEG compression.
Keywords:digital watermarking  discreet wavelet transform  quantization  gray watermark  quantization step
本文献已被 CNKI 万方数据 等数据库收录!
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