基于多向预测误差直方图和波动适应的优化可逆数据隐藏技术

IF 5.2 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Dima Kasasbeh, Mohammed Anbar
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引用次数: 0

摘要

可逆数据隐藏技术(RDH)在网络安全领域发挥着越来越重要的作用。忽视载体图像的特性和纹理的影响会导致不良失真和不可逆的数据隐藏。本文提出了一种基于块的新型 RDH 技术,利用多向预测误差直方图(MPEH)和像素波动值之间的相对相关性来减轻不良失真并实现 RDH,从而确保提高分发过程的安全性和效率,并改善基于块的 RDH 技术的鲁棒性。所提出的技术结合使用了像素波动和局部复杂度测量方法,根据波动值最低的 MPEH 累加峰值区域,确定平滑区域内的最佳嵌入位置。同样,在提取过程中,也会在平滑区域内确定相同的最佳嵌入位置。然后利用多向预测误差直方图,从波动值较低的像素中精确提取隐藏数据。总之,实验结果凸显了所提技术在数据嵌入和提取各方面的有效性和优越性,并证明所提技术在嵌入容量、图像质量和抗攻击鲁棒性方面优于其他最先进的 RDH 技术。在嵌入容量为 0.5×104 位到 5×104 位的情况下,平均峰值信噪比(PSNR)为 52.72 dB。此外,在检索载波图像和秘密数据时不会出现错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized reversible data hiding technique based on multidirectional prediction error histogram and fluctuation-based adaptation

Reversible Data Hiding Techniques (RDH) play an increasingly pivotal role in the field of cybersecurity. Overlooking the properties of the carrier image and neglecting the influence of texture can lead to undesirable distortions and irreversible data hiding. In this paper, a novel block-based RDH technique is proposed that harnesses the relative correlation between multidirectional prediction error histograms (MPEH) and pixel fluctuation values to mitigate undesirable distortions and enable RDH, thereby ensuring heightened security and efficiency in the distribution process and improving the robustness of the block-based RDH technique. The proposed technique uses a combination of pixel fluctuation and local complexity measures to determine the best embedding locations within smooth regions based on the cumulative peak regions of the MPEH with the lowest fluctuation values. Similarly, during the extraction process, the same optimal embedding locations are identified within smooth regions. The multidirectional prediction error histograms are then used to accurately extract the hidden data from the pixels with lower fluctuation values. Overall, the experimental results highlight the effectiveness and superiority of the proposed technique in various aspects of data embedding and extraction, and demonstrate that the proposed technique outperforms other state-of-the-art RDH techniques in terms of embedding capacity, image quality, and robustness against attacks. The average Peak Signal-to-Noise Ratio (PSNR) achieved with an embedding capacity ranging from 0.5×104 bits to 5×104 bits is 52.72 dB. Additionally, there are no errors in retrieving the carrier image and secret data.

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来源期刊
CiteScore
10.50
自引率
8.70%
发文量
656
审稿时长
29 days
期刊介绍: In 2022 the Journal of King Saud University - Computer and Information Sciences will become an author paid open access journal. Authors who submit their manuscript after October 31st 2021 will be asked to pay an Article Processing Charge (APC) after acceptance of their paper to make their work immediately, permanently, and freely accessible to all. The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.
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