论文标题
可逆数据隐藏在基于像素预测的加密图像中，多MSB平面重新排列
Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement
论文作者
论文摘要
由于云存储和隐私保护的开发，隐藏在加密图像（RDHEI）的可逆数据领域中引起了极大的关注。 RDHEI是一种有效的技术，可以在图像加密后嵌入其他数据，提取其他数据错误并无损地重建原始图像。在本文中，提出了一种高容量和完全可逆的RDHEI方法，该方法基于像素预测和多MSB（最重要的位）平面重排。首先，中位边缘检测器（MED）预测器用于计算预测值。接下来，与以前的方法不同，在我们提出的方法中，预测错误的迹象（PE）由一个位平面表示，PES的绝对值由其他位平面表示。然后，我们将钻头平面分为均匀的块和不均匀的块，然后重新排列这些块。最后，根据不同的像素预测方案，自适应地嵌入了不同数量的其他数据。实验结果证明，与最先进的RDHEI方法相比，我们的方法具有更高的嵌入能力。
Great concern has arisen in the field of reversible data hiding in encrypted images (RDHEI) due to the development of cloud storage and privacy protection. RDHEI is an effective technology that can embed additional data after image encryption, extract additional data error-free and reconstruct original images losslessly. In this paper, a high-capacity and fully reversible RDHEI method is proposed, which is based on pixel prediction and multi-MSB (most significant bit) planes rearrangement. First, the median edge detector (MED) predictor is used to calculate the predicted value. Next, unlike previous methods, in our proposed method, signs of prediction errors (PEs) are represented by one bit plane and absolute values of PEs are represented by other bit planes. Then, we divide bit planes into uniform blocks and non-uniform blocks, and rearrange these blocks. Finally, according to different pixel prediction schemes, different numbers of additional data are embedded adaptively. The experimental results prove that our method has higher embedding capacity compared with state-of-the-art RDHEI methods.
