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A self-embedding fragile image authentication based on singular value decomposition

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Abstract

Nowadays, image authentication techniques are widely applied to digital multimedia to address their fraudulent and illegal use. Digital multimedia plays a vital role in various real time applications and therefore, there is a need for the development of more powerful and robust algorithms in order to strengthen their security. In this paper, we proposed a self-embedding fragile image authentication method based on Singular Value Decomposition (SVD). First the original image was divided into non-overlapping blocks and thereafter, each block was further divided into two parts: upper part and bottom part. After block separation, SVD was performed to generate the authentication information for both upper and bottom parts of each block, which were concatenated to generate the authentication code. We performed a series of attacking experiments on the original image to test the robustness of the proposed method. The recovered imperceptibility of the proposed scheme was measured using False Positive Rate (FPR), False Negative Rate (FNR), Peak Signal to Noise Ratio (PSNR), and Structural Similarity (SSIM). It was found that our method not only surpassed previous methods in PSNR but FNR and FPR as well. The experimental results showed an excellent visual imperceptibility against a variety of attacks. The proposed method detected image tampering precisely, and even after massive tampering, it was able to recover the tampered image with high quality.

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Acknowledgements

We are grateful to all students and teachers who participated in this study and all the colleagues working to realize this project.

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

This research was partially supported by the Ministry of Science and Technology of the Republic of China under the Grant [MOST 106–2221-E-324-006 -MY2].

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Authors and Affiliations

  1. Department of Management Information Systems, National Chung Hsing University, Taichung City, Taiwan

    Jau-Ji Shen & Fang-Wei Hsu

  2. Department of Information Management, Chaoyang University of Technology, Taichung City, Taiwan

    Chin-Feng Lee & Somya Agrawal

Authors
  1. Jau-Ji Shen
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  2. Chin-Feng Lee
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  3. Fang-Wei Hsu
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  4. Somya Agrawal
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Correspondence to Chin-Feng Lee.

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Shen, JJ., Lee, CF., Hsu, FW. et al. A self-embedding fragile image authentication based on singular value decomposition. Multimed Tools Appl 79, 25969–25988 (2020). https://doi.org/10.1007/s11042-020-09254-1

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  • DOI: https://doi.org/10.1007/s11042-020-09254-1

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