一种基于高效直方图移位的JPEG图像二维可逆隐藏方案

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI:10.1177/15501329221084226
Ben He, Yi Chen, Yonghui Zhou, Yongrong Wang, Yanli Chen
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引用次数: 3

摘要

近年来,可逆数据隐藏技术已广泛应用于JPEG图像中,用于文件管理和图像认证等特殊目的。直方图移位是实现可逆数据隐藏技术的最流行的技术之一。然而,直方图移位中的无效移位限制了现有可逆数据隐藏方案的性能。因此,我们在本文中提出了一种基于二维直方图移位的可逆数据隐藏方案,以提高标记JPEG图像在视觉质量和文件大小方面的性能。在所提出的直方图移位方法中,对于嵌入数据,仅改变包含两个非零量化离散余弦变换系数的系数对。具体而言,具有至少一个值为−1或+1的量化离散余弦变换系数的系数对被移位,其余部分为嵌入数据留出空间。利用我们提出的可逆数据隐藏方案,减少了无效移位像素的数量,从而提高了标记JPEG图像的性能。实验结果表明,与现有技术相比,所提出的方法实现了更高的峰值信噪比,并且文件大小的增加更少。
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A novel two-dimensional reversible data hiding scheme based on high-efficiency histogram shifting for JPEG images
In recent years, reversible data hiding technology has been widely used in JPEG images for special purposes such as file management and image authentication. Histogram shifting is one of the most popular techniques for achieving reversible data hiding technology. However, invalid shifting in histogram shifting limits the performance of existing reversible data hiding schemes. Therefore, we propose a two-dimensional histogram shifting-based reversible data hiding scheme in this article to improve the performance of marked JPEG images in terms of visual quality and file size. In the proposed histogram shifting method, only the coefficient pairs containing two non-zero quantized discrete cosine transform coefficients are changed for embedding data. Specifically, the coefficient pairs with at least one quantized discrete cosine transform coefficient valued −1 or +1 are shifted and the rests leave room for embedding data. With our proposed reversible data hiding scheme, the number of invalid shifting pixels is reduced so that it improves the performance of marked JPEG images. The experimental results show that the proposed method achieves a higher peak signal-to-noise ratio and has a lower increase in file size than state-of-art methods.
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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