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Discrete Wavelet Transform-Based Reversible Data Hiding in Encrypted Images

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Proceedings of Academia-Industry Consortium for Data Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1411))

Abstract

In the era of multimedia technology, not only reinstatement of the original media without any loss of information is required but also the security of the content is of utmost importance. In this paper, a novel discrete wavelet transforms (DWT)-based RDH-EI scheme is proposed. The approximation band of DWT has been utilized for data embedding. Also, disarrangement of DWT sub-bands is practiced for enhancing the security. Proposed scheme is simple to implement and takes less time to execute. Standard grayscale images are tested and compared with existing techniques. The results reflect supremacy of proposed scheme in terms of correlation, PSNR, and computational efficiency.

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Author information

Authors and Affiliations

  1. Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India

    Sara Ahmed, Ruchi Agarwal & Manoj Kumar

Authors
  1. Sara Ahmed
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  2. Ruchi Agarwal
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  3. Manoj Kumar
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Editor information

Editors and Affiliations

  1. School of Mathematical Sciences, College of Science and Technology, Wenzhou Kean University, Wenzhou, China

    Gaurav Gupta

  2. Department of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, Punjab, India

    Anupam Yadav

  4. School of Mathematical Sciences, College of Science and Technology, Wenzhou Kean University, Wenzhou, China

    Puneet Rana

  5. Newford Research Institute of Advanced Technology, Wenzhou, China

    Zhenyu Wang

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ahmed, S., Agarwal, R., Kumar, M. (2022). Discrete Wavelet Transform-Based Reversible Data Hiding in Encrypted Images. In: Gupta, G., Wang, L., Yadav, A., Rana, P., Wang, Z. (eds) Proceedings of Academia-Industry Consortium for Data Science. Advances in Intelligent Systems and Computing, vol 1411. Springer, Singapore. https://doi.org/10.1007/978-981-16-6887-6_21

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