抗亮度和对比度调整的盲鲁棒量化水印算法  

A Blind Robust Quantization-based Watermarking Algorithm Against Brightness-and-contrast Adjustment

作　　者：叶天语[1] 

机构地区：[1]浙江工商大学信息与电子工程学院,杭州310018

出　　处：《光子学报》2011年第10期1577-1585,共9页Acta Photonica Sinica

基　　金：浙江省教育厅项目(No.Y201017916)资助

摘　　要：针对现有许多图像水印算法无法抵抗亮度和对比度调整,提出了一种抗亮度和对比度调整的盲鲁棒量化水印算法.对原始图像进行离散小波变换,将低频子带分成互不重叠的子块,对每个子块进行离散余弦变换,在每个子块的离散余弦变换低频系数奇偶量化嵌入水印.检测端先对攻击后的含水印图像进行抗亮度和对比度调整修正,然后通过奇偶判断盲提取出水印.实验结果表明:该算法在抵抗亮度和对比度调整上表现出较强的鲁棒性,而且在抵抗添加高斯噪音、添加椒盐噪音、剪切、中值滤波、高斯低通滤波和JPEG压缩也表现出较强的鲁棒性.Lots of existing image watermarking algorithm cannot resist brightness-and-contrast adjustment. In order to solve the problem, a blind robust quantization-based watermarking algorithm against brightness and-contrast adjustment is proposed. An original image is transformed with discreet wavelet transform,and its low frequency band is split into non-overlapping blocks. Then,each block is conducted with discreet cosine transform. Finally, a watermark is inserted into low frequency coefficient from each block after discreet cosine transform through odd-even quantization. At the detection end, revision for resistance against brightness-and contrast adjustment is imposed on the attacked watermarked image at first,and then a watermark is blindly extracted through odd-even judgment. Experimental results show that it has strong robustness towards brightness-and-contrast adjustment, and adding gaussian noise, adding salt＆pepper noise,cropping,median filter,gaussian low-pass filter and JPEG compression.

关 键 词：数字水印 量化 鲁棒性 亮度和对比度调整 

分 类 号：TN911.7[电子电信—通信与信息系统]