一种基于奇异值分解的图像零水印新算法  

A New Image Zero-watermarking Algorithm Based on SVD

作　　者：王雯霞[1] 

机构地区：[1]河南科技大学电信学院

出　　处：《计算机时代》2010年第4期8-10,共3页Computer Era

摘　　要：基于时域和变换域的数字水印嵌入与提取算法一般都要对原图像数据进行修改,从而产生鲁棒性和隐蔽性这个不可解决的矛盾。零水印技术解决了数字水印嵌入时鲁棒性和隐蔽性的矛盾。零水印不改变原始图像,因此更好地保护了原始图像。文章提出了一种基于奇异值分解的零水印改进算法,实验表明,这种算法具有较好的鲁棒性,并且能有效地识别图像被篡改的地方。The digital watermark embedding and extracting algorithms based on time domain and transform domain generally modify original image data, resulting in the insoluble conflict of robustness and concealment. Zero-watermarking technique has solved the conflict of robustness and concealment when digital watermark is embedded. Zero-watermarking does not change original images, so the images get better protected. An improved zero-watermarking algorithm based on singular value decomposition is proposed. The experiment shows that the algorithm has good robustness and can effectively identify tampered areas in images.

关 键 词：零数字水印 奇异值分解 鲁棒性 隐蔽性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]