多层嵌入的多光谱图像可逆信息隐藏算法

Multilevel reversible information hiding algorithm for multispectral images

针对现有可逆信息隐藏算法嵌入容量偏低、不适合多光谱图像等问题,提出一种基于预测误差直方图移位和波段顺序重排的多层嵌入的多光谱图像可逆信息隐藏算法。对于每层嵌入,首先用提出的排序算法对波段进行重新排序,然后利用多光谱图像的空间相关性和谱间相关性对图像进行自适应联合预测,最后通过预测误差直方图移位技术嵌入秘密信息。Landsat卫星多光谱图像仿真结果表明,提出的算法和典型可逆信息隐藏算法相比具有更好的视觉质量和更大的隐藏容量。

Because the existing reversible information hiding algorithm has low embedding capacity and is not suitable for multispectral images, a multilevel reversible information hiding method for multispectral images based on histogram shifting of prediction error and band re-ordering was proposed. For each hiding level, firstly, the bands were re-ordered by the proposed approach, then, an adaptive predictor was used to exploit the spatial correlation and spectral correlation of muhispectral image, finally, the secret information were embedded by a histogram shifting mechanism based on prediction error. The experimental results on multispectral images acquired by Landsat show that the proposed method has better visual quality and higher hiding capacity than the representative methods.