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在图像中具有高消息嵌入容量的可逆数据隐藏技术。

Reversible data hiding techniques with high message embedding capacity in images.

机构信息

Center of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan.

Centre for Computational Biology, University of Birmingham, Birmingham, England, United Kingdom.

出版信息

PLoS One. 2020 May 29;15(5):e0231602. doi: 10.1371/journal.pone.0231602. eCollection 2020.

DOI:10.1371/journal.pone.0231602
PMID:32469877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7259517/
Abstract

Reversible Data Hiding (RDH) techniques have gained popularity over the last two decades, where data is embedded in an image in such a way that the original image can be restored. Earlier works on RDH was based on the Image Histogram Modification that uses the peak point to embed data in the image. More recent works focus on the Difference Image Histogram Modification that exploits the fact that the neighbouring pixels of an image are highly correlated and therefore the difference of image makes more space to embed large amount of data. In this paper we propose a framework to increase the embedding capacity of reversible data hiding techniques that use a difference of image to embed data. The main idea is that, instead of taking the difference of the neighboring pixels, we rearrange the columns (or rows) of the image in a way that enhances the smooth regions of an image. Any difference based technique to embed data can then be used in the transformed image. The proposed method is applied on different types of images including textures, patterns and publicly available images. Experimental results demonstrate that the proposed method not only increases the message embedding capacity of a given image by more than 50% but also the visual quality of the marked image containing the message is more than the visual quality obtained by existing state-of-the-art reversible data hiding technique. The proposed technique is also verified by Pixel Difference Histogram (PDH) Stegoanalysis and results demonstrate that marked images generated by proposed method is undetectable by PDH analysis.

摘要

在过去的二十年中,可逆数据隐藏(RDH)技术得到了广泛的关注,通过这种技术可以将数据嵌入到图像中,而不会影响原始图像的恢复。早期的 RDH 工作基于图像直方图修改,该方法使用峰值点将数据嵌入到图像中。最近的工作则侧重于差异图像直方图修改,该方法利用了图像的相邻像素高度相关的事实,因此图像的差值有更多的空间来嵌入大量数据。在本文中,我们提出了一种框架,以提高使用图像差值来嵌入数据的可逆数据隐藏技术的嵌入容量。主要思想是,我们不是取相邻像素的差值,而是以一种增强图像平滑区域的方式重新排列图像的列(或行)。任何基于差值的技术都可以用于嵌入数据。该方法应用于不同类型的图像,包括纹理、图案和公开可用的图像。实验结果表明,该方法不仅可以将给定图像的消息嵌入容量提高 50%以上,而且包含消息的标记图像的视觉质量也优于现有最先进的可逆数据隐藏技术获得的视觉质量。该方法还通过像素差值直方图(PDH)隐写分析进行了验证,结果表明,由所提出的方法生成的标记图像无法通过 PDH 分析检测到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb2/7259517/7d180e7f99da/pone.0231602.g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb2/7259517/1b9e26b8a969/pone.0231602.g008.jpg
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