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Logistic-map based fragile image watermarking scheme for tamper detection and localization

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Abstract

In this paper, two logistic-map based fragile image watermarking schemes are proposed. The first scheme is a conventional irreversible, whereas the second scheme is a reversible one. The proposed first scheme considers a pair of two consecutive host image (HI) pixels for embedding the watermark bits. At the embedding end, each HI pixel observes a maximum of ±1 modifications to produce the watermarked pixels. At the same time, the second scheme utilizes the concept of mirrored images of the HI to reproduce the image as well as the watermark bits, with minimal distortion. The experimental results show that the quality of the watermarked image is superior with an average peak signal-to-noise ratio (PSNR) of more than 51 dB for both schemes. Also, the first scheme offers excellent tamper detection and localization ability as compared to the existing state-of-art schemes. Besides, promising results are obtained in favor of the proposed scheme for measures like accuracy, true positive (TP), true negative (TN), false positive (FP), false negative (FN), and precision.

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This is an independent work. No funding has been received to conduct this research.

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Authors and Affiliations

  1. Amrita School of Computing, Amaravati Campus, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India

    Aditya Kumar Sahu

  2. Department of Computer Science, College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharaj, Saudi Arabia

    M. Hassaballah

  3. Department of Computer Science, Faculty of Computers and Information, South Valley University, Qena, Egypt

    M. Hassaballah

  4. Department of CSE, GITAM School of Technology, GITAM (Deemed to be University), Visakhapatnam, AP, India

    Routhu Srinivasa Rao

  5. Department of ECE, Aditya Engineering College, Surampalem, AP, India

    Gulivindala Suresh

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  1. Aditya Kumar Sahu
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  3. Routhu Srinivasa Rao
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  4. Gulivindala Suresh
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Correspondence to Aditya Kumar Sahu.

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Sahu, A.K., Hassaballah, M., Rao, R.S. et al. Logistic-map based fragile image watermarking scheme for tamper detection and localization. Multimed Tools Appl 82, 24069–24100 (2023). https://doi.org/10.1007/s11042-022-13630-4

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  • DOI: https://doi.org/10.1007/s11042-022-13630-4

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