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Reversible data hiding in adjacent zeros
Multimedia Systems ( IF 3.5 ) Pub Date : 2021-01-04 , DOI: 10.1007/s00530-020-00732-y
Heba Abdel-Nabi , Ali Al-Haj

Data hiding techniques are used to embed information into digital objects for the purpose of copyright protection, covert communication, media notation, among other applications. Compared with traditional data hiding techniques, reversible data hiding (RDH) can restore the original digital object after extracting the hidden data. This makes RDH very useful for applications requiring high fidelity of multimedia content, such as medical records, remote sensing, and military aerial intelligence gathering. In this paper, we describe an efficient reversible data hiding algorithm that can be applied to standard and medical images, with better results expected for medical images. The algorithm is simple, blind, and offers a relatively large embedding capacity while keeping low visual distortions. In addition, it can be extended to multiple layers embedding with an acceptable visual quality. The main idea on which the proposed algorithm is based is to scan the image for pixels that have adjacent zeros at predefined positions in their binary representation. These pixels will be marked and chosen to embed the bits of a given watermark in the positions of the predefined adjacent zeros found in the selected pixels. The proposed algorithm has been successfully applied to a wide range of medical and standard images. Experimental results demonstrate the ability of the proposed algorithm to achieve high embedding capacity and high image quality.

中文翻译:

隐藏在相邻零中的可逆数据

数据隐藏技术用于将信息嵌入到数字对象中,以实现版权保护、隐蔽通信、媒体标记等应用。与传统的数据隐藏技术相比,可逆数据隐藏(RDH)可以在提取隐藏数据后还原原始数字对象。这使得 RDH 对于需要高保真多媒体内容的应用非常有用,例如医疗记录、遥感和军事空中情报收集。在本文中,我们描述了一种有效的可逆数据隐藏算法,该算法可应用于标准和医学图像,对医学图像具有更好的预期结果。该算法简单、盲目,并提供相对较大的嵌入容量,同时保持较低的视觉失真。此外,它可以扩展到具有可接受的视觉质量的多层嵌入。所提出的算法所基于的主要思想是扫描图像以寻找在其二进制表示中的预定义位置具有相邻零的像素。这些像素将被标记和选择以将给定水印的位嵌入在选定像素中找到的预定义相邻零的位置。所提出的算法已成功应用于广泛的医学和标准图像。实验结果证明了该算法能够实现高嵌入容量和高图像质量。这些像素将被标记和选择以将给定水印的位嵌入在选定像素中找到的预定义相邻零的位置。所提出的算法已成功应用于广泛的医学和标准图像。实验结果证明了该算法能够实现高嵌入容量和高图像质量。这些像素将被标记和选择以将给定水印的位嵌入在选定像素中找到的预定义相邻零的位置。所提出的算法已成功应用于广泛的医学和标准图像。实验结果证明了该算法能够实现高嵌入容量和高图像质量。
更新日期:2021-01-04
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