一种利用双向直方图移位和多级嵌入的有效的可逆数据隐藏技术

IF 7.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Sanjay Kumar , Gurjit Singh Walia , Anjana Gupta
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引用次数: 0

摘要

由于其在国防、医疗、云存储和公共网络上的安全数据通信等不同领域的无数应用,可逆数据隐藏已经得到了广泛的研究。然而,由于对数据容量、通信开销和数据安全性的担忧,大多数技术都受到了影响。为了解决这些问题,已经提出了一种确保高安全性和最佳容量的新技术,其中不需要通过单独的信道传输额外的开销。为此,提出了秘密数据的双向嵌入,利用主直方图峰的左右两个峰进行数据嵌入,从而实现了较高的嵌入容量。在明文域和加密域进行多阶段的数据嵌入,既能获得最佳的质量,又能获得较高的安全性。所述秘密数据嵌入容量也是可调的,其中每像素的位数可以由所述覆盖的大小和所述秘密数据的数量来确定。此外,秘密数据的分块嵌入进一步提高了数据嵌入能力。与最先进的技术相比,所提出的技术表现得更好,同时,通过不同的性能指标对不同类型的覆盖进行了实验分析。平均而言,每峰值像素嵌入1比特,PSNR(峰值信噪比)和SSIM(结构相似指数)分别为43.22 dB和0.9984。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient technique for reversible data hiding using bidirectional histogram shifting and multistage embedding
Reversible Data Hiding has been extensively investigated due to its myriad applications in different fields such as defense, medical, cloud storage, and secure data communication over public networks. However, most of the techniques suffer due to concerns about data capacity, communication overhead, and data security. To solve these concerns, a novel technique has been proposed that ensures high security and optimum capacity, wherein no additional overhead is required to be transmitted through a separate channel. For this, bidirectional embedding of secret data has been proposed wherein both the left and right peaks from the main histogram peak have been exploited for data embedding, thereby achieving high embedding capacity. Data embedding is performed in multistage in both plain and encrypted domains to achieve not only optimum quality but also high security. The secret data embedding capacity is also tunable, wherein the number of bits per pixel can be determined from the size of the cover and the amount of secret data. In addition, block-wise embedding of secret data further enhances the data embedding capacity. The proposed technique is demonstrated to perform better in comparison to the state-of-the-art techniques while, experimental analysis over different types of cover by different performance metrics was done. On average, the PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index) values of 43.22 dB and 0.9984 respectively, is obtained for one bit per peak pixel embedding.
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来源期刊
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
9.60
自引率
10.00%
发文量
505
审稿时长
68 days
期刊介绍: Artificial Intelligence (AI) is pivotal in driving the fourth industrial revolution, witnessing remarkable advancements across various machine learning methodologies. AI techniques have become indispensable tools for practicing engineers, enabling them to tackle previously insurmountable challenges. Engineering Applications of Artificial Intelligence serves as a global platform for the swift dissemination of research elucidating the practical application of AI methods across all engineering disciplines. Submitted papers are expected to present novel aspects of AI utilized in real-world engineering applications, validated using publicly available datasets to ensure the replicability of research outcomes. Join us in exploring the transformative potential of AI in engineering.
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