Efficient Reversible Data Hiding for JPEG Images With Multiple Histograms Modification
Efficient Reversible Data Hiding for JPEG Images With Multiple Histograms Modification
复制标题
DOI：
10.1109/tcsvt.2020.3027391
复制
发表时间：
2021-07
影响因子：
8.4
通讯作者：
Mengyao Xiao;Xiaolong Li;B. Ma;Xinpeng Zhang;Yao Zhao
中科院分区：
文献类型：
--
作者：
Mengyao Xiao;Xiaolong Li;B. Ma;Xinpeng Zhang;Yao Zhao
目前大多数可逆数据隐藏（RDH）技术是针对未压缩图像设计的。然而，JPEG图像在我们的日常生活中更常用。到目前为止，已经提出了几种JPEG图像的RDH方法，但由于缺乏对嵌入失真的精确度量，很少有人研究自适应数据嵌入。为了实现自适应嵌入，优化嵌入性能，提出了一种基于多重直方图修正（MHM）和率失真优化的JPEG图像RDH算法。首先，选择系数，RDH JPEG图像推广到MHM嵌入框架。然后，通过估计嵌入失真，率失真模型，使扩展箱可以自适应地确定不同的直方图和图像。最后，为了优化真实的嵌入性能，提出了一种计算复杂度较低的贪婪算法，以有效地获得近似最优嵌入。实验表明，该方法可以产生更好的嵌入性能相比，国家的最先进的方法在视觉质量和文件大小的保护。
Most current reversible data hiding (RDH) techniques are designed for uncompressed images. However, JPEG images are more commonly used in our daily lives. Up to now, several RDH methods for JPEG images have been proposed, yet few of them investigated the adaptive data embedding as the lack of accurate measurement for the embedding distortion. To realize adaptive embedding and optimize the embedding performance, in this article, a novel RDH scheme for JPEG images based on multiple histogram modification (MHM) and rate-distortion optimization is proposed. Firstly, with selected coefficients, the RDH for JPEG images is generalized into a MHM embedding framework. Then, by estimating the embedding distortion, the rate-distortion model is formulated, so that the expansion bins can be adaptively determined for different histograms and images. Finally, to optimize the embedding performance in real time, a greedy algorithm with low computation complexity is proposed to derive the nearly optimal embedding efficiently. Experiments show that the proposed method can yield better embedding performance compared with state-of-the-art methods in terms of both visual quality and file size preservation.