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。%T he 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 .
展开▼
