论文标题
通过无损像素转换隐藏在加密图像中的可逆数据
Reversible Data Hiding in Encrypted Images by Lossless Pixel Conversion
论文作者
论文摘要
隐藏在加密图像（RDHEI）中的可逆数据成为一个热门话题，并且已经提出了许多算法来优化该技术。但是，这些算法无法实现强大的嵌入能力。因此，在本文中，我们提出了一种基于无损像素转换（LPC）的高级RDHEI方案。与以前的RDHEI算法不同，LPC的灵感来自平面图着色问题，并且执行动态图像分割过程，将原始图像分为不规则的区域而不是常规块，如先前的RDHEI算法。在LPC过程中，按区域进行像素转换。也就是说，相同区域中的像素被转换为相同的转换值，该值将占据较小的尺寸，然后可以保留可用的房间以容纳其他数据。 LPC是一个可逆的过程，因此可以在接收器侧无损地恢复原始图像。实验结果表明，所提出的方案的嵌入能力优于现有的RDHEI算法。
Reversible data hiding in encrypted image (RDHEI) becomes a hot topic, and a lot of algorithms have been proposed to optimize this technology. However, these algorithms cannot achieve strong embedding capacity. Thus, in this paper, we propose an advanced RDHEI scheme based on lossless pixel conversion (LPC). Different from the previous RDHEI algorithms, LPC is inspired by the planar map coloring question, and it performs a dynamic image division process to divide the original image into irregular regions instead of regular blocks as in the previous RDHEI algorithms. In the process of LPC, pixel conversion is performed by region; that is, pixels in the same regions are converted to the same conversion values, which will occupy a smaller size, and then the available room can be reserved to accommodate additional data. LPC is a reversible process, so the original image can be losslessly recovered on the receiver side. Experimental results show that the embedding capacity of the proposed scheme outperforms the existing RDHEI algorithms.
