Interpolation Based Reversible Data Hiding using Pixel Intensity Classes

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Published Nov 28, 2023
https://doi.org/10.47164/ijngc.v14i4.1170
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Volume 14, Issue 4, November 2023

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Abhinandan Tripathi
a:1:{s:5:"en_US";s:6:"MMMUT ";}
Jay Prakash

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.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite
Tripathi, A., & Prakash, J. (2023). Interpolation Based Reversible Data Hiding using Pixel Intensity Classes. International Journal of Next-Generation Computing, 14(4). https://doi.org/10.47164/ijngc.v14i4.1170
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