Interpolation Based Reversible Data Hiding using Pixel Intensity Classes

IF 0.3
Abhinandan Tripathi, Jay Prakash
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引用次数: 0

Abstract

In this article, we suggest a new interpolation technique as well as a novel Reversible Data Hiding (RDH) approach for up scaling the actual image and concealing sensitive information within the up scaled/interpolated image. This data hiding strategy takes into account the features of the Human Visual System (HVS) when concealing the secret data in order to prevent detection of the private data even after extensive embedding. The private data bits are adaptively embedded into the picture cell based on its values in the suggested hiding strategy after grouping different pixel intensity ranges. As a result, the proposed approach can preserve the stego-visual image’s quality. According to experimental findings, the proposed interpolation approach achieves PSNRs of over 40 dB for all experimental images. The outcomes further demonstrate that the suggested data concealing strategy outperforms every other interpolation-based data hiding scheme existing in use.
利用像素强度等级进行基于插值的可逆数据隐藏
在本文中,我们提出了一种新的插值技术和新颖的可逆数据隐藏(RDH)方法,用于放大实际图像并在放大/插值图像中隐藏敏感信息。这种数据隐藏策略在隐藏秘密数据时考虑了人类视觉系统(HVS)的特征,以防止在大量嵌入后仍能检测到私人数据。在建议的隐藏策略中,私人数据位是根据不同像素强度范围分组后的值自适应嵌入图片单元的。因此,建议的方法可以保持偷窃视觉图像的质量。实验结果表明,建议的插值方法在所有实验图像中的 PSNR 都超过了 40 dB。实验结果进一步证明,建议的数据隐藏策略优于现有的其他基于插值的数据隐藏方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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