Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels

Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels
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基于多个相邻像素绝对均差的加密图像可逆数据隐藏

DOI:
10.1016/j.jvcir.2014.12.007
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发表时间:
2015-04-01
影响因子:
2.6
通讯作者:
Shu, Changwen
Shu, Changwen
中科院分区:
计算机科学3区
文献类型:
--
作者:
Liao, Xin;Shu, Changwen

文献摘要

被引文献

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近年来,随着云计算的发展,越来越多的机密数据存储在云端。在加密图像中进行可逆数据隐藏是一种在隐私保护和数据安全方面对云数据管理做出贡献的技术。在以前的工作中,Zhang和Hong分别提出了两种在加密图像中的可逆数据隐藏方法。然而,Zhang的工作忽略了图像块的边界中的像素,而Hong et al.的研究只考虑了每个像素的两个相邻像素。此外,他们的作品只考虑了所有的图像块嵌入到额外的数据。本文提出了一种新的图像块复杂度评估方法,该方法根据不同像素的位置考虑多个相邻像素。此外,还考虑了数据嵌入率。实验表明,在块大小合适的情况下,该方法可以降低平均误比特率。(C)2015 Elsevier Inc. All rights reserved.
Recently, with the development of cloud computing, more and more secret data are stored in cloud. Reversible data hiding in encrypted images is a technique that makes contribution to cloud data management in privacy preserving and data security. In previous works, Zhang and Hong presented two reversible dada hiding methods in encrypted images, respectively. However, Zhang's work neglected the pixels in the borders of image blocks, and Hong et al.'s research only considered two adjacent pixels of each pixel. In addition, their works only considered that all image blocks are embedded into additional data. In this paper, we propose a novel method of evaluating the complexity of image blocks, which considers multiple neighboring pixels according to the locations of different pixels. Furthermore, data embedding ratio is considered. Experiments show that this novel method can reduce average extracted-bit error rate when the block size is appropriate. (C) 2015 Elsevier Inc. All rights reserved.