Abstract High dynamic range (HDR) images have become a wide-spread data format in multimedia communication due to its great expressiveness. In this paper, we present an efficient prediction-error histogram (PEH) based reversible data hiding (RDH) method for HDR images. To better exploit the correlation among encoded channels, a novel RDH scheme based on two-dimensional PEH of the second time prediction is designed. Firstly, the prediction-errors are calculated considering the encoding format of HDR images. Secondly, those pixels located in the complex regions are predicted for the second time by referring to the other channels. Thirdly, the two-dimensional PEH is generated to further optimize the embedding performance and maximize the embedding capacity (EC). Finally, an adaptive embedding strategy based on the two-dimensional PEH is employed to reduce the embedding distortion. With the second time prediction and the two-dimensional PEH strategy, our proposed method can greatly exploit the correlations among channels. Experimental results verify that the proposed method can significantly enlarge the embedding capacity and achieves an excellent embedding performance.

中文翻译：

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使用二次预测的二维预测误差直方图对高动态范围图像进行可逆数据隐藏

摘要 高动态范围（HDR）图像由于其强大的表现力，已成为多媒体通信中广泛传播的数据格式。在本文中，我们提出了一种用于 HDR 图像的有效的基于预测误差直方图 (PEH) 的可逆数据隐藏 (RDH) 方法。为了更好地利用编码通道之间的相关性，设计了一种基于二次预测的二维 PEH 的新型 RDH 方案。首先，考虑HDR图像的编码格式来计算预测误差。其次，通过参考其他通道对位于复杂区域的那些像素进行第二次预测。第三，生成二维 PEH 以进一步优化嵌入性能并最大化嵌入容量（EC）。最后，采用基于二维PEH的自适应嵌入策略来减少嵌入失真。通过二次预测和二维 PEH 策略，我们提出的方法可以极大地利用通道之间的相关性。实验结果验证了所提出的方法可以显着扩大嵌入容量并实现出色的嵌入性能。