基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法

李锦伟; 张晓雅; 姚远志; 俞能海

doi:10.11959/j.issn.2096-109x.2022008

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基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法

学术论文 | 更新时间：2024-06-03

- 基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法
- Reversible data hiding in encrypted images based on fine-grained embedding room reservation
- 网络与信息安全学报 2022年8卷第1期页码：106-117
- 作者机构：
- 作者简介：
  
  [ "李锦伟（1997− ），男，安徽蚌埠人，中国科学技术大学硕士生，主要研究方向为信息隐藏、隐私保护和媒体内容安全" ]
  [ "张晓雅（1998− ），女，河北衡水人，中国科学技术大学硕士生，主要研究方向为信息隐藏、隐私保护和媒体内容安全" ]
  [ "姚远志（1989− ），男，安徽望江人，博士，中国科学技术大学副研究员，主要研究方向为信息隐藏和视频编码" ]
  [ "俞能海（1964− ），男，安徽无为人，博士，中国科学技术大学教授、博士生导师，主要研究方向为图像视频处理与分析、计算机视觉与模式识别、信息隐藏与媒体内容安全、信息检索与数据挖掘" ]
- 基金信息：
  
  国家重点研发计划;The National Key R＆D Program of China(2018YFB0804102);国家自然科学基金;The National Natural Science Foundation of China(61802357);中央高校基本科研业务费专项资金;The Fundamental Research Funds for the Central Universities(WK3480000009)
- DOI：10.11959/j.issn.2096-109x.2022008
  中图分类号： TP309.2
- 网络首发：2022-02，
  
  纸质出版：2022-02-15
- 稿件说明：
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李锦伟, 张晓雅, 姚远志, 等. 基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法[J]. 网络与信息安全学报, 2022,8(1):106-117.

Jinwei LI, Xiaoya ZHANG, Yuanzhi YAO, et al. Reversible data hiding in encrypted images based on fine-grained embedding room reservation[J]. Chinese Journal of Network and Information Security, 2022, 8(1): 106-117.
李锦伟, 张晓雅, 姚远志, 等. 基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法[J]. 网络与信息安全学报, 2022,8(1):106-117. DOI： 10.11959/j.issn.2096-109x.2022008.

Jinwei LI, Xiaoya ZHANG, Yuanzhi YAO, et al. Reversible data hiding in encrypted images based on fine-grained embedding room reservation[J]. Chinese Journal of Network and Information Security, 2022, 8(1): 106-117. DOI： 10.11959/j.issn.2096-109x.2022008.

摘要

针对云数据管理中的用户隐私保护需求，密文域图像可逆信息隐藏受到了学术界的广泛关注。基于加密前预留空间的数据嵌入框架将载体图像分割成由图像块组成的两个独立区域，使用传统的可逆信息隐藏技术腾出数据嵌入空间，可以取得较好的性能。为了更好地利用图像的空间相关性，提出了一种细粒度的可伸缩嵌入空间预留策略。该策略将图像块重新排列，构成纹理区域和平坦区域。图像块的大小可以根据图像的纹理和需要预留空间的大小自适应调整。这些图像块的原始位置将作为待嵌入边信息，用于无损恢复载体图像。由于平坦区域的像素更容易被预测，所以平坦区域可以容纳更多纹理区域的像素比特，以预留更多的数据嵌入空间。同时，在平坦区域使用传统的可逆信息隐藏技术腾出数据嵌入空间时造成的嵌入失真更小。充分的实验证明了基于细粒度嵌入空间预留的密文域图像可逆信息隐藏方法在嵌入容量和载密图像质量方面的优越性。

Abstract

Reversible data hiding in encrypted images has attracted considerable attention due to the privacy-preserving requirement for cloud data management.The good performance in this area can be achieved by using the existing framework of reserving room before encryption

where the image is partitioned to two independent slices consisting of blocks and then traditional reversible data hiding techniques are utilized to vacate room.In order to better exploit the spatial correlation of images

a fine-grained scalable embedding room reservation strategy in which blocks were rearranged to constitute the textured slice and the smooth slice was proposed.The block-size can be adjusted adaptively according to the texture of the images and the size of room to be vacated.The original locations of these blocks were efficiently represented as the to-be-embedded auxiliary information for image restoration.Because pixels in the smooth slice are easier to be predicted

the smooth slice can contain more pixel bits from the textured slice to reserve more room and fewer embedding distortions are induced with traditional reversible data hiding techniques.Extensive experiments demonstrate the merits of the proposed method in terms of embedding capacity and image quality.

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references

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