An Inpainting-Assisted Reversible Steganographic Scheme Using a Histogram Shifting Mechanism
An Inpainting-Assisted Reversible Steganographic Scheme Using a Histogram Shifting Mechanism
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DOI：
10.1109/tcsvt.2012.2224052
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发表时间：
2013-07
影响因子：
8.4
通讯作者：
Chuan Qin;Chinchen Chang;Ying-Hsuan Huang;Li-Ting Liao
中科院分区：
文献类型：
--
作者：
Chuan Qin;Chinchen Chang;Ying-Hsuan Huang;Li-Ting Liao
在本文中，我们提出了一种基于图像插入的新型基于预测的可逆隐身方案。首先，根据图像含量的分布特征适应参考像素。然后，引入了基于部分微分方程的图像授课技术，以生成具有与封面图像相似的结构和几何信息的预测图像。最后，通过使用两个选定的峰值点和零点的组，预测误差的直方图被移动到可逆地嵌入秘密位。由于可以在提取过程中利用相同的参考像素，因此可以正确从Stego图像中提取嵌入式秘密钻头，并且可以无损地恢复封面图像。通过使用自适应策略选择参考像素和介入预测指标，预测准确性很高，并且获取了更可嵌入的像素。因此，与最近报道的方法相比，所提出的方案提供了更高的嵌入速率和更好的视觉质量。
In this paper, we propose a novel prediction-based reversible steganographic scheme based on image inpainting. First, reference pixels are chosen adaptively according to the distribution characteristics of the image content. Then, the image inpainting technique based on partial differential equations is introduced to generate a prediction image that has similar structural and geometric information as the cover image. Finally, by using the two selected groups of peak points and zero points, the histogram of the prediction error is shifted to embed the secret bits reversibly. Since the same reference pixels can be exploited in the extraction procedure, the embedded secret bits can be extracted from the stego image correctly, and the cover image can be restored losslessly. Through the use of the adaptive strategy for choosing reference pixels and the inpainting predictor, the prediction accuracy is high, and more embeddable pixels are acquired. Thus, the proposed scheme provides a greater embedding rate and better visual quality compared with recently reported methods.