摘要
该文提出了一种用于精确认证的脆弱水印算法。该算法结合人类视觉系统特性,利用模糊C-均值聚类技术,基于亮度、纹理、对比度等提取类成员关系度作为认证水印,通过修改图像块各象素的最低有效位实现水印信息的嵌入。在认证端,从接收到的图像提取其中所隐藏信息,判断内容发生变化的位置,实现了盲检测。实验结果表明,该算法生成的含水印图像透明性好,能够准确检测并定位篡改发生的位置。
This paper presents a fragile watermarking algorithm for exact authentication.Combining with the characteristics of human visual system,it takes class membership degree as the authentication watermark based on the luminance,texture and contrast by using the fuzzy c-means clustering technique,and embeds the watermark by modifying the least significant bit of each pixel.In the authentication side,the algorithm extracts the hidden information from the received image to determine the locations where the content is changed and achieves the blind detection.Experimental results show that the watermarked image have good transparency;meanwhile,it can detect and locate the tampered areas accurately.
出处
《杭州电子科技大学学报(自然科学版)》
2011年第5期143-146,共4页
Journal of Hangzhou Dianzi University:Natural Sciences
关键词
脆弱水印
图像认证
人类视觉系统
fragile watermark
image authentication
human visual system