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High capacity reversible data hiding in encrypted images using SIBRW and GCC
Journal of Visual Communication and Image Representation ( IF 2.6 ) Pub Date : 2020-10-24 , DOI: 10.1016/j.jvcir.2020.102932
Shaowei Weng , Caiying Zhang , Tiancong Zhang , Kaimeng Chen

In this paper, a reversible data hiding in encrypted images (RDHEI) method combining GCC (group classification encoding) and SIBRW containing sixteen image-based rearrangement ways is proposed to achieve high-capacity data embedding in encrypted images. Each way of SIBRW aims at bringing strongly-correlated bits of each higher bit-plane together by rearranging each higher bit-plane. For each higher bit-plane, the optimal way achieving the most concentrated aggregation performance is selected from SIBRW to rearrange this bit-plane, and then, GCC compresses the rearranged bit-plane in group-by-group manner. By making full use of strong-correlation between adjacent groups, GCC can compress not only consecutive several groups whose bits are valued 1 (or 0) but also a single group so that a large embedding space is provided. The encryption method including the bit-level XOR-encryption and scrambling operations enhances the security. The experimental results show that the proposed scheme can achieve large embedding capacity and high security.



中文翻译:

使用SIBRW和GCC隐藏在加密图像中的大容量可逆数据

本文提出了一种结合GCC(组分类编码)和SIBRW的可逆数据隐藏在加密图像中的方法(RDHEI),该方法包含16种基于图像的重排方式,以实现在加密图像中嵌入大容量数据。SIBRW的每种方法都旨在通过重新排列每个较高位平面来将每个较高位平面的高度相关的位组合在一起。对于每个更高的位平面,从SIBRW中选择实现最集中的聚合性能的最佳方式来重新排列该位平面,然后,GCC以逐组的方式压缩重新排列的位平面。通过充分利用相邻组之间的强相关性,GCC不仅可以压缩比特值为1(或0)的连续几个组,还可以压缩单个组,从而提供较大的嵌入空间。包括位级XOR加密和加扰操作的加密方法提高了安全性。实验结果表明,该方案可以实现较大的嵌入量和较高的安全性。

更新日期:2020-10-24
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