基于差值扩展和随机块选择的可逆数据隐藏算法

A Reversible Data Hiding Algorithm Using Difference Expansion and Random Block-chosen Methods

针对传统数据隐藏算法容易被SPAM检测到的问题,提出一种基于差值扩展和随机块选择的可逆数据嵌入算法.该算法首先对目标图像进行分块处理,然后随机地选择目标块,并根据目标块的类型和方向选择相应类型的差值扩展方法嵌入数据,最后利用块位置图记录溢出情况,以保证图像质量.实验表明,该算法不仅能够提高嵌入数据的容量,并能有效降低嵌入数据后对图像质量的影响.

In order to prevent the data hiding algorithm from being detected by the SPAM tool, a new reversible data hiding algorithm based on difference expansion and random block-chosen methods was proposed. The image was first divided into several blocks. Then, the different data embedding strategies were exploited by the type and direction of the target block, which was chosen randomly. Lastly, the location map was used to manage the overflow flags. The experiment results showed that our method not only provides a higher payload capacity but also improves the embedded image quality.