摘要
提出了一种用于图像内容认证的半脆弱水印嵌入算法,该算法以人眼视觉特性为基础,能够通过分组量化过程将水印信号自适应嵌入到原始图像的小波域内.该算法提取水印信息时不需要原始载体图像.仿真实验表明,本文算法不仅具有较好的透明性,而且对JPEG压缩、叠加噪声、平滑滤波等常见图像处理操作具有较好的鲁棒性,同时能够对剪切、替换等恶意图像篡改做出报警并确定被篡改位置.
A new semi-fragile image watermarking algorithm for content authentication is proposed in this paper. Based on human visual system, the watermark can be adaptively embedded into host image in the wavelet domain by using group quantization in our algorithm. The watermark can be extracted without resorting to the original host image. Experimental results show that the proposed watermarking scheme is invisible and is robust to common image processing （such as JPEG compression, noise adding, filtering）. Our semi-fragile watermarking is fragile to content modification （such as cropping） and can detect effectively the tampered regions.
出处
《小型微型计算机系统》
CSCD
北大核心
2005年第11期2017-2020,共4页
Journal of Chinese Computer Systems
基金
辽宁省自然科学基金(20032100)资助
信息安全国家重点实验室开放基金(03-02)资助
关键词
半脆弱水印
内容认证
分组量化
人眼视觉特性
semi-fragile watermark
content authentication
group quantization
human visual system
