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Selective bin model for reversible data hiding in encrypted images
Pattern Analysis and Applications ( IF 3.9 ) Pub Date : 2024-02-28 , DOI: 10.1007/s10044-024-01220-z
Ruchi Agarwal , Sara Ahmed , Manoj Kumar

In tandem with the fast-growing technology, the issue of secure data transmission over the Internet has achieved increasing importance. In digital media, enclosing data in images is one of the most common methods for communicating confidential information. A novel reversible data hiding in the encrypted images scheme based on selective bin models is proposed in this paper. The scheme focuses on enhancing the embedding capacity while ensuring the security of images with the help of encryption and the proposed data hiding process. For data embedding, lossless compression is utilized and the image is classified into three bins. Then, marker bits are assigned to these bins for distinguishing between embeddable and non-embeddable regions. The proposed method shows a satisfactory embedding rate for smooth images as well as complex ones due to its selective bin approach. Also, the method is separable in nature, i.e., data extraction and image recovery can be performed independently. Furthermore, the experimental results demonstrate the strategy’s effectiveness when compared with others.



中文翻译:

用于加密图像中可逆数据隐藏的选择性 bin 模型

随着技术的快速发展,互联网上的安全数据传输问题变得越来越重要。在数字媒体中,将数据封装在图像中是传达机密信息的最常见方法之一。本文提出了一种基于选择性 bin 模型的加密图像可逆数据隐藏方案。该方案的重点是增强嵌入能力,同时借助加密和所提出的数据隐藏过程确保图像的安全性。对于数据嵌入,采用无损压缩并将图像分为三个容器。然后,将标记位分配给这些仓以区分可嵌入区域和不可嵌入区域。由于其选择性分箱方法,所提出的方法对于平滑图像和复杂图像显示出令人满意的嵌入率。而且,该方法本质上是可分离的,即数据提取和图像恢复可以独立执行。此外,实验结果证明了该策略与其他策略相比的有效性。

更新日期:2024-02-29
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