基于Peano曲线扫描的大容量密文域可逆信息隐藏方案

针对现有密文域可逆信息隐藏算法中存在嵌入率低、安全性不足等问题进行了研究,提出了一种利用图像像素间相关性的大容量密文域可逆信息隐藏方案.首先利用图像位平面间相关性减小冗余,再使用Peano曲线对位平面进行扫描,利用游程霍夫曼编码对每个位平面进行压缩,而后利用图像高位信息对低位空间进行填充,最后用填充消息作为隐藏密钥对秘密信息异或加密实现嵌入.实验结果表明,该方法可完全可逆地恢复原始图像,平均最大嵌入容量达2.53 bpp.

High capacity reversible data hiding in encrypted image based on peano curve scanning

Aiming at the problems of low embedding rate and insufficient security in the existing reversible information hiding algorithms in the ciphertext domain, this paper proposed a large-capacity reversible information hiding scheme in the ciphertext domain using the correlation between image pixels. Firstly, it used the correlation between image bit planes to reduce redundancy, then used the Peano curve to scan the bit planes, used run-length Huffman coding to compress each bit plane, and then used the high-level information of the image to fill the low-bit space, and finally used the padding message as a hidden key to XOR the secret information to realize embedding. Experimental results show that the method can restore the original image completely reversibly, and the average maximum embedding capacity can reach 2.53 bpp.