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Meaningful secret image sharing resist to typical image processing of shadows

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Abstract

Since the recovery of SIS is based on mathematical operations (such as Lagrange interpolation, XOR, etc), when transmitted over the internet, images are usually filtered, sampled and so on, which makes the existing secret image sharing (SIS) schemes inapplicable. In this paper, we propose a model of meaningful SIS scheme resist to typical image processing of shadows. First, the shadows are generated by extended polynomial-based SIS. Then, through pixel expansion, pixel assignment and fine adjustment, the intermediate shadows are obtained, where the intermediate shadows are consistent with the original shadows after image processing and extraction. We derive three specific algorithms for (k,n) threshold lossless meaningful SIS resist to three kinds of image processing from the model respectively. Further, the analysis of shadows quality is given. Three groups of experiments show the feasibility of the proposed method, and the general model is especially effective against down-sampling and filtering. Besides, the scheme obtains better attributes, such as lossless recovery, (k,n) threshold and meaningful shares.

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Acknowledgements

The authors would like to thank the associate editor and the anonymous reviewers for their valuable comments.

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Authors and Affiliations

  1. National University of Defense Technology, Hefei, 230037, China

    Yue Jiang, Xuehu Yan, Jianqing Qi & Longlong Li

  2. Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation, Hefei, 230037, China

    Yue Jiang, Xuehu Yan, Jianqing Qi & Longlong Li

  3. Jilin University, Changchun, 130012, China

    Yiming Liu

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  1. Yue Jiang
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  2. Xuehu Yan
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  3. Jianqing Qi
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  4. Longlong Li
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  5. Yiming Liu
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Correspondence to Yue Jiang.

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Jiang, Y., Yan, X., Qi, J. et al. Meaningful secret image sharing resist to typical image processing of shadows. Multimed Tools Appl 81, 16097–16115 (2022). https://doi.org/10.1007/s11042-022-12207-5

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  • DOI: https://doi.org/10.1007/s11042-022-12207-5

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