基于预测误差修改的医学图像数据隐藏方法

针对医学图像可逆数据隐藏高保真、高容量、高频繁地插入和可逆性等特点,提出了一种基于预测误差修改的可逆数据隐藏算法,不需要对图像进行分块处理,利用加权线性预测得到预测图像,在预测误差直方图中采用4峰值点进行隐秘数据嵌入,较好地解决了医学图像中出现得较多的溢出问题,并在保证图像质量的同时增加了嵌入容量。理论分析和实验结果证明了算法的优越性。

A Data Hiding Scheme for Medical Images Based on Prediction Error Modification

Due to the characteristics of high quality, high capacity, authentication, frequent insertions and reversibility of the medical images reversible data hiding, a reversible data hiding scheme for medical images based on prediction error modification is proposed. The proposed method uses a non-block-based approach and obtains the prediction images by using a weighted linear predictor. In the prediction error histogram, it uses four peak points to embed the private data, and the method solves the overflow problem well, which appears in medical images. It increases the embedding capacity while keeping the distortion. The theoretical analysis and the experimental results demonstrate the superior performance of the proposed method.