一种邻域像素差预测的可逆水印算法

基金项目:

甘肃省教育厅研究生导师项目(1215_04)

详细信息

A Reversible Watermarking Algorithm of Neighboring Pixel Difference Predict

School of Electronic Information Engineering,Lanzhou University of Arts and Science,Lanzhou 730000,China

摘要: 针对现有高容量水印嵌入算法中载体图像失真问题,提出一种邻域差值预测的可逆水印算法,该算法通过计算相邻像素差值的绝对值来决定是否嵌入水印.为确保较高的图像质量,设置理想阈值,嵌入过程中如果绝对差值高于预设的阈值,则像素保持不变.结果表明,与同类算法相比,该算法具有较好的图像质量和高嵌入容量
- 可逆水印 /
- 容量 /
- 失真 /
- 阈值
Abstract: To solve the image distortion of its carrier that occurs in high capacity reversible watermarking, a reversible watermarking algorithm was proposed to determine whether the pixel is embeddable or not by calculating the absolute difference of its neighboring pixels. In order that the image might be in a higher quality, and that the threshold should be an ideal one, the pixel should be unchanged in insetting if the absolute difference is higher than the threshold expected. Experimental results and performance comparisons showed that the proposed method has much better visual quality and higher capacity than the methods recently proposed.
- reversible watermarking /
- capacity /
- distortion /
- threshold

[1]	郭志川，程义民，王以孝，等．一种无损的隐秘传输方法与仿真［Ｊ］．系统仿真学报，２００６，１８（６）：１６３８-１６４２．
[2]	阮留照．图像可逆水印算法及相关研究［Ｄ］．杭州：杭州电子科技大学，２０１０．

1.	郑鸿昌，王春桃，王俊祥. 基于LASSO的可逆图像水印算法. 计算机应用. 2018(08): 2287-2292 . 百度学术
2.	徐文霞，李硕，李国东. 动态加权预测方法设计及在降水预测中的应用. 天津理工大学学报. 2016(03): 51-54 . 百度学术
3.	王晓栋，严菲，许华荣，徐晓婷. 基于差值扩展和随机块选择的可逆数据隐藏算法. 闽南师范大学学报(自然科学版). 2015(01): 30-36 . 百度学术