基于双像素值排序and1minimum预测误差扩展的可逆数据隐藏
Reversible data hiding with dual pixel-value-ordering and1minimum prediction error expansion
摘要：
像素值排序（PVO）具有高保真可逆数据隐藏（RDH）的令人印象深刻的属性。在本文中，我们引入了一个双PVO（dPVO）的预测误差扩展（PEE），从而开发了一种新的RDH方案，以提供更好的率失真性能。特别是，我们建议嵌入在两个阶段：向前和向后。在前向阶段，具有经典PEE的PVO被应用于大小为1x3的每个非重叠图像块。在后向阶段中，从在前向阶段中预测的像素确定像素的最小集合和最大集合。最小集合仅包含每个图像块的最低预测像素，而最大集合包含每个图像块的最大预测像素。然后将建议的具有PEE的dPVO应用于两个集合，使得最小集合的像素值增加，并且最大集合的像素值减少单位值。因此，在前向嵌入中预测的像素可以部分地恢复到它们的原始值，从而产生更好的嵌入图像质量和更高的嵌入率。实验结果已经记录了一个有前途的率失真性能，我们的计划与显着改善的嵌入图像质量在更高的嵌入率相比，流行的和国家的最先进的PVO为基础的RDH计划。
英文摘要：
Pixel Value Ordering (PVO) holds an impressive property for high fidelity Reversible Data Hiding (RDH). In this paper, we introduce a dual-PVO (dPVO) for Prediction Error Expansion(PEE), and thereby develop a new RDH scheme to offer a better rate-distortion performance. Particularly, we propose to embed in two phases: forward and backward. In the forward phase, PVO with classic PEE is applied to every non-overlapping image block of size 1x3. In the backward phase,minimum-set and maximum-set of pixels are determined from the pixels predicted in the forward phase. The minimum set only contains the lowest predicted pixels and the maximum set contains the largest predicted pixels of each image block. Proposed dPVO withPEE is then applied to both sets, so that the pixel values of the minimum set are increased and that of the maximum set are decreased by a unit value. Thereby, the pixels predicted in the forward embedding can partially be restored to their original values resulting in both better-embedded image quality and a higher embedding rate. Experimental results have recorded a promising rate-distortion performance of our scheme with a significant improvement of embedded image quality at higher embedding rates compared to the popular and state-of-the-art PVO-based RDHschemes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
