当前位置: X-MOL 学术J. Inf. Secur. Appl. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An efficient general data hiding scheme based on image interpolation
Journal of Information Security and Applications ( IF 3.8 ) Pub Date : 2020-08-20 , DOI: 10.1016/j.jisa.2020.102584
Yong-qing Chen , Wei-jiao Sun , Li-yao Li , Chin-Chen Chang , Xu Wang

Information exchange through public networks has the risk of information disclosure, making data hiding an important technique to protect privacy. Image interpolation is also a common technique in image processing. Recent years, research on data hiding based on image interpolation have matured. In this paper, we propose an efficient data hiding scheme based on image interpolation that can be adopted into different image interpolation techniques. Different from other schemes, the converted decimal secret data is embedded into the cover image by adding or subtracting the cover pixels according to whether the current pixel value is lower or higher than the original pixel value and is embedded following the block complexity from high to low. Therefore, our proposed scheme keeps a relative balance between hiding capacity and image quality that can increase the stego-image quality and obtain a relatively higher image quality when the embedded bits are lower. The experimental results show that our proposed scheme has a relatively higher hiding capacity and can achieve almost a 1.6 dB increase on average compared with other schemes. The visual effect is also superior under the different image interpolation techniques.



中文翻译:

一种基于图像插值的有效通用数据隐藏方案

通过公共网络进行信息交换具有信息泄露的风险,使数据隐藏成为保护隐私的重要技术。图像插值也是图像处理中的常用技术。近年来,基于图像插值的数据隐藏研究已经成熟。在本文中,我们提出了一种有效的基于图像插值的数据隐藏方案,该方案可以应用于不同的图像插值技术中。与其他方案不同,将转换后的十进制秘密数据根据当前像素值是低于还是高于原始像素值,通过添加或减去封面像素将其嵌入封面图像,并按照从高到低的块复杂度进行嵌入。因此,我们提出的方案在隐藏能力和图像质量之间保持相对平衡,当嵌入位较低时,可以提高隐秘图像质量并获得相对较高的图像质量。实验结果表明,我们提出的方案具有相对较高的隐藏能力,与其他方案相比,平均可以提高近1.6 dB。在不同的图像插值技术下,视觉效果也更好。

更新日期:2020-08-20
down
wechat
bug