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High Payload RDH Through Directional PVO Exploiting Center-Folding Strategy

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Proceedings of International Conference on Frontiers in Computing and Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1255))

Abstract

In this paper, a high payload reversible data hiding scheme (HPRDH) has been designed using Directional Pixel Value Ordering (DPVO) Exploiting Center-Folding Strategy. At first, Center-Folding Strategy has been applied on a cover image to embed secret information which generates Dual Marked Images (DMI). After that, Directional Pixel Value Ordering (DPVO) has been utilized to embed more secret data on interpolated Dual Marked Images (DMI). Here, the advantage of the center-folding method has been employed, which compresses the valuable hidden information through averaging. On the other hand, DPVO provides repeated embedding on overlapped pixels of an image block in different directions like horizontal, vertical, and diagonal one after another. The proposed method is highly adaptive in nature because of its variable-size secret data along with different image block sizes for successful embedding. The experimental outcomes show that the proposed method is very suitable to embed more hidden data without compromising the visual quality of the image compared to other state-of-the-art methods. The intended outcome brought into the limelight some remarkable sublime characteristics in the field of hidden data communication, tamper detection, and digital forgery detection without which the technological life is stunted. Innumerable government and private sector facets including health care, commercial security, defense, and intellectual property rights get immensely benefited from this scheme.

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Correspondence to Jana Biswapati .

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Sudipta, M., Biswapati, J., Prasenjit, B., Kumar, S.P. (2021). High Payload RDH Through Directional PVO Exploiting Center-Folding Strategy. In: Bhattacharjee, D., Kole, D.K., Dey, N., Basu, S., Plewczynski, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-7834-2_61

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