摘要
利用差值直方图偏移算法来预测像素差值实现可逆信息隐藏.提出了一种基于曲线拟合的可逆信息隐藏方案,该方案将图像划分成大小相等的块,每一块转化为相应的序列,序列中奇数坐标值用于曲线拟合,通过曲线拟合得到预测值,预测值减去产生差值的当前位置的像素即得到差值计算.秘密数据被嵌入在具有不同解释的差值直方图中,根据阈值来实现可逆信息的隐藏.实验结果表明,该算法不仅提供了高容量信息隐藏,而且峰值信噪比较其他算法更优,取得了良好的视觉效果.
The difference histogram algorithm is used to offset the difference from the predicted pixels to achieve reversible information hiding. A reversible data hiding scheme based on curve fitting is proposed. The image is partitioned into equal-sized blocks, and every block is transformed to a corresponding sequence. The values with odd coordinate in the sequence are maintained and used to curve fitting. The values with even coordinate in the fitted curve are predicted values. The predicted value subtracts the pixel of the current position to generate a difference. The differences are counted. Secret data is embedded in the differences by translating the histogram of the differences according to a threshold to achieve reversible data hiding. Experimental results show that the proposed algorithm not only provides high capacity, but also has the better peak signal noise ratio compared to other algorithm.
出处
《西北师范大学学报(自然科学版)》
CAS
北大核心
2015年第6期58-62,82,共6页
Journal of Northwest Normal University(Natural Science)
基金
国家自然科学基金资助项目(61165009)
关键词
可逆性
预测差异
数据隐藏
直方图
曲线拟合
reversibility
predicted difference
data hiding
histogram
curve fitting