摘要
提出了一种新颖的可用于版权保护的小波奇异值分解的量化水印算法。与传统的水印比特信息直接嵌入小波系数不同,水印信息被量化嵌入原始图像小波低频子带分块奇异值分解得到的奇异向量中。水印提取无需原始图像,可在密钥和量化阈值控制下实现盲提取。实验表明,含水印图像质量好且能较好地抵抗常规的图像处理,对JPEG压缩具有优异的鲁棒性。
A novel watermarking scheme was proposed for image authentication by applying a simple quantization process on wavelet domain singular value decomposition.Unlike the traditional wavelet-based watermarking schemes where the watermark bits were embedded directly on the wavelet coefficients,the singular vectors of the blocks within wavelet low frequency sub-band of the original image were explored for embedding the watermark.Watermark detection is efficient and blind in only the key and threshold but not the original image.Experimental results show that the quality of the watermarked image is good and is quite effective against general image processing and extremely robust against JPEG compression.
出处
《计算机科学》
CSCD
北大核心
2011年第11期30-33,53,共5页
Computer Science
基金
国家自然科学基金(60803136)
青年科学基金项目(61004037)资助
关键词
水印
小波分解
奇异值分解
奇异向量量化
Watermarking
Wavelet transformation
Singular value decomposition（SVD）
Singular vector quantization
