摘要
该文提出了基于小波变换和奇异值分解的全息水印算法。纹理图的还原过程需得知一个参数序列,将它嵌入到纹理图中,可以减少参数的额外传输。该算法是先把水印全息化,然后对纹理图进行二级小波变换和奇异值分解,将全息系数替换载体图的中频系数。提取时利用字符识别将参数图自动转化为文本的形式。该算法的不可见性较好,具有抗JPEG压缩、滤波、平移的能力,打印扫描后仍能提取水印。
Hologram watermarking method based on DWT and SVD is proposed in this paper .When the marbled image is recovered to the original image , the parameters should be known in the decoding process .By embedding these into it , we can eliminate an additional internet transmission .Firstly, a watermark image is used to create a hologram .Then the host image is decomposed by secondary wavelet transform and singular value decomposition .The frequency components are embedded into the intermediate frequency components . And in the process of extraction , using the character recognition can convert graph into text .Experimental results showed that the method has good invisibility and is robust against compression , filtering, translation, especially, watermarking can be detected after print-scan.
出处
《杭州电子科技大学学报(自然科学版)》
2014年第1期43-46,共4页
Journal of Hangzhou Dianzi University:Natural Sciences
基金
国家科技支撑计划课题资助项目(2012BAH91F03)
关键词
纹理图
全息水印
小波变换
光学字符识别
marbled image
hologram watermarking
discrete wavelet transform
optical character recognition