Reversible Data Hiding in Shared Images With Separate Cover Image Reconstruction and Secret Extraction

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2024-01-09 DOI:10.1109/TCC.2024.3351143
Lizhi Xiong;Xiao Han;Ching-Nung Yang;Yun-Qing Shi
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Abstract

Reversible data hiding is widely utilized for secure communication and copyright protection. Recently, to improve embedding capacity and visual quality of stego-images, some Partial Reversible Data Hiding (PRDH) schemes are proposed. But these schemes are over the plaintext domain. To protect the privacy of the cover image, Reversible Data Hiding in Encrypted Images (RDHEI) techniques are preferred. In addition, the full separability of cover image reconstruction and data restoration is also an important characteristic that cannot be achieved by most RDHEI schemes. To solve the issues, a partial and a complete Reversible Data Hiding in Shared Images with Separate Cover Image Reconstruction and Secret Extraction (RDHSI-SRE) are proposed in this paper. In the proposed schemes, the secret data is divided by Secret Sharing (SS). Then, the marked shared images are generated based on the proposed modify-and-recalculate strategy. The receiver can extract embedded data and reconstruct the image separably using k -out-of- n marked shared images. In the embedding phase of partial RDHSI-SRE (PRDHSI-SRE), the pixel values are modified according to the proposed Minimizing-Square-Errors Strategy to achieve high visual quality, and the complete RDHSI-SRE (CRDHSI-SRE) embeds data by modifying random coefficients to achieve reversibility. The experimental results and theoretical analyses demonstrate that the proposed schemes have a high embedding performance. Most importantly, the proposed schemes are fault-tolerant and completely separable.
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利用独立的封面图像重构和秘密提取在共享图像中进行可逆数据隐藏
可逆数据隐藏被广泛用于安全通信和版权保护。最近,为了提高隐去图像的嵌入能力和视觉质量,人们提出了一些部分可逆数据隐藏(PRDH)方案。但这些方案都是明文领域的。为了保护封面图像的隐私,最好采用加密图像中的可逆数据隐藏(RDHEI)技术。此外,封面图像重建和数据恢复的完全分离性也是大多数 RDHEI 方案无法实现的一个重要特征。为了解决这些问题,本文提出了一种具有分离式覆盖图像重建和秘密提取功能的共享图像中的部分和完全可逆数据隐藏(RDHSI-SRE)方案。在所提出的方案中,秘密数据通过秘密共享(Secret Sharing,SS)进行分割。然后,根据所提出的修改-计算策略生成标记共享图像。接收器可以提取嵌入的数据,并使用 n 个标记共享图像中的 k 个单独重建图像。在部分 RDHSI-SRE (PRDHSI-SRE)的嵌入阶段,根据提出的最小化平方误差策略修改像素值,以实现高视觉质量;完整 RDHSI-SRE (CRDHSI-SRE)通过修改随机系数嵌入数据,以实现可逆性。实验结果和理论分析表明,所提出的方案具有很高的嵌入性能。最重要的是,提出的方案具有容错性和完全可分性。
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
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