基于动态块划分和预测误差对扩展的可逆信息隐藏

Reversible Data Hiding Based on Dynamic Pixel Block Partition and Pairwise Prediction-Error Expansion

为提高含密图像质量,提出了一种基于动态像素块划分和预测误差对扩展的可逆信息隐藏算法.通过局部区域纹理复杂度计算对图像进行动态二次分块,运用像素排序算法计算预测误差并生成相应的预测误差对,最后通过预测误差对扩展嵌入秘密信息.实验结果表明:所提出的算法在保证一定嵌入容量条件下得到的含密图像质量更高.

In order to improve the quality of stego image,a reversible information hiding algorithm based on dynamic block partition and pairwise prediction,error expansion is proposed.Through the local region texture complexity calculation,the image is dynamically sub,divided into blocks,the pixel value ordering(PVO)algorithm is used to calculate the prediction,error and generate the corresponding prediction error pair.Finally,the pairwise prediction,error expansion is used to embed the secret data.Experimental results show that the proposed algorithm achieves better stego image quality with the same embedded capacity.