Institute of Computer Science and Technology, Peking University, Beijing 100871, China.
IEEE Trans Image Process. 2013 Jun;22(6):2181-91. doi: 10.1109/TIP.2013.2246179. Epub 2013 Feb 8.
Histogram shifting (HS) is a useful technique of reversible data hiding (RDH). With HS-based RDH, high capacity and low distortion can be achieved efficiently. In this paper, we revisit the HS technique and present a general framework to construct HS-based RDH. By the proposed framework, one can get a RDH algorithm by simply designing the so-called shifting and embedding functions. Moreover, by taking specific shifting and embedding functions, we show that several RDH algorithms reported in the literature are special cases of this general construction. In addition, two novel and efficient RDH algorithms are also introduced to further demonstrate the universality and applicability of our framework. It is expected that more efficient RDH algorithms can be devised according to the proposed framework by carefully designing the shifting and embedding functions.
直方图平移（HS）是一种有用的可逆数据隐藏（RDH）技术。基于 HS 的 RDH 可以有效地实现高容量和低失真。在本文中，我们重新审视了 HS 技术，并提出了一种构建基于 HS 的 RDH 的通用框架。通过所提出的框架，只需设计所谓的平移和嵌入函数，就可以得到 RDH 算法。此外，通过采用特定的平移和嵌入函数，我们表明文献中报道的几种 RDH 算法都是这种通用构造的特例。此外，还引入了两种新颖有效的 RDH 算法，以进一步证明我们框架的通用性和适用性。通过仔细设计平移和嵌入函数，预计可以根据所提出的框架设计出更有效的 RDH 算法。
