一种基于多预测值分类的可逆信息隐藏算法

A Reversible Information Hiding Method Based on Multiple Prediction Values

本文提出一种基于多预测值分类的可逆信息隐藏算法。该算法通过多种预测算子对像素值进行预测,确定最大预测值和最小预测值的下标,根据最大预测值和最小预测值与当前像素值的关系进行分类。若最大预测值与最小预测值相等,则最优预测值为最小预测值;若当前像素值大于或等于最大预测值,则最优预测值为最大预测值;若当前像素值小于或等于最小预测值,则最优预测值为最小预测值。计算当前像素值与最优预测值的差值,然后选择相应差值隐藏秘密信息。该算法能够准确提取秘密信息,并无损恢复原始载体图像,且载密图像具有较好的视觉效果。

A reversible information hiding method based on multiple prediction values is proposed in this paper. Multiple Predictors are firstly applied to predict a pixel value. The indexes of maximum prediction value and minimum prediction value are thus determined. Then, the relationship among maximum prediction value, minimum prediction value and current pixel value is used for classification. If the maximum prediction value is equal to the minimum prediction value, the optimal prediction value is the minimum prediction value. If the current pixel value is equal to or greater than maximum prediction value, the optimal prediction value is the maximum prediction value. If the current pixel value is equal to or less than minimum prediction value, the optimal prediction value is the minimum prediction value. Finally, the difference value between the current pixel value and the optimal prediction value is calculated and the corresponding different value is selected for data hiding. The method can extract secret information accurately and recover the original image without loss of information. The stego-image has good visual quality.