利用拉格朗日插值的两阶段多级可逆数据隐藏

Chin-Feng Lee, Chinchen Chang, Cheng-You Gao
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引用次数: 4

摘要

本文提出了一种基于拉格朗日插值的两阶段多层可逆数据隐藏方案。在奇偶像素上交叉应用拉格朗日插值得到预测图像,然后利用直方图移位修正将机密数据嵌入到预测图像与原始图像的差值中。实验结果表明,该方案的莉娜图像质量的PSNR值为66.88dB,嵌入容量为0.1bpp。对于10个水平,该方案的嵌入容量为2.17 bpp,且仍能保持45dB的高PSNR值,这意味着该算法在质量和嵌入容量方面都比Ni等和Tai等人的算法更高效。
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A Two-Staged Multi-level Reversible Data Hiding Exploiting Lagrange Interpolation
This paper is a two staged multi-layer reversible data hiding scheme based on Lagrange interpolation. Lagrange interpolation will cross applied on odd and even pixels to produce predicted images, and then histogram shifting modification will be applied to embed confidential data into the differences between predicted and original images. The experimental results show the quality of Lena image from this scheme has a PSNR value of 66.88dB and a embedding capacity of 0.1bpp, for one level. For 10 levels, the embedding capacity is 2.17 bpp and the scheme can still maintain a high PSNR value of 45dB, which means this algorithm is more efficient than the algorithms from Ni et al. and Tai et al, for both quality and embedding capacity.
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