摘要
为了加强传统基于直方图平移的可逆水印算法的不可感知性,提高嵌入容量,提出一种基于双层可逆嵌入的可逆灰度图像水印算法。利用直方图平移方法解决平移和嵌入时可能出现的溢出问题,计算每一分块两像素的差值,并根据差值构建差值直方图,选择最大的峰值点嵌入水印信号。在第二层水印嵌入时,采用可逆的嵌入方法使部分像素的扩展量互相抵消,进而在保证增加嵌入容量的同时减少图像失真。仿真实验结果表明,与同类算法相比,该算法具有较好的不可感知性,以及较高的嵌入容量。
In order to improve the transparency and embedding capacity of traditional reversible watermark algorithm based on histogram shifting,a novel reversible grayscale image watermark algorithm based on double-embedding inverse embedding method is proposed.The possible occur problem of overflow/underflow by shifting pixel and embedding watermark is solved by histogram shifting method.The difference of two adjacent pixels is calculated and constructs difference histogram according to all differences.The proposed algorithm selects the maximum peak point of difference histogram to embed watermark signal.During the second embedding,it uses the inverse method to offset some pixels expansion,thus ensuring the embedding capacity increase while reducing image distortion.Experimental results show that compared with other similar algorithms,the proposed algorithm has better transparency and the embedding capacity is improved.
出处
《计算机工程》
CAS
CSCD
北大核心
2015年第8期180-185,共6页
Computer Engineering
基金
国家自然科学基金资助项目(61309006)
贵州省科学技术厅
贵州师范大学联合科技基金资助项目(黔科合LH字[2014]7041号)
关键词
图像水印
可逆水印
直方图平移
互补嵌入
溢出
image watermark
reversible watermark
histogram shifting
complementary embedding
overflow
作者简介
熊祥光（1984-）,男,讲师、硕士、CCF会员,主研方向：数字水印,图像处理
韦立,副教授、博士。
