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Comparative assessment of PEE methods and new performance measurement for RDH

  • 1163: Large-scale multimedia signal processing for security and digital forensics
  • Published:
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Abstract

The paper mainly analyzes four typical reversible data hiding (RDH) algorithms that use PEE technology in combination: Conventional Prediction-error-expansion(C-PEE), Adaptive Prediction-error-expansion(A-PEE), Pairwise Prediction-error-expansion (P-PEE), Improve Pairwise Prediction-error-expansion(IP-PEE). And the experimental comparison results are also given. In addition, in the research process, we found that the peak signal-to-noise ratio (PSNR) and embedding capacity (EC) of many algorithms are very close, due to lack of benchmark tools for technical evaluation in the RDH field, thus this paper proposes a new performance measurement method based on the PSNR and EC measurement, we call it the prediction error accuracy rate, Determined by the ratio of the capacity that meets the embedding conditions to the total capacity of the image, combined with the measurement of this method, can better determine whether the performance of the algorithm is optimal. Finally, in this area, challenge and future directions are also given.

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Funding

This work is funded by: National Key R&D Plan of China under Grant No. 2017YFA0604500, and by National Sci-Tech Support Plan of China under Grant No. 2014BAH02F00, and by National Natural Science Foundation of China under Grant No. 61701190, and by Youth Science Foundation of Jilin Province of China under Grant No. 20160520011JH &20180520021JH, and by Youth Sci-Tech Innovation Leader and Team Project of Jilin Province of China under Grant No. 20170519017JH, and by Key Technology Innovation Cooperation Project of Government and University for the whole Industry Demonstration under Grant No. SXGJSF2017–4, and by Key scientific and technological R&D Plan of Jilin Province of China under Grant No. 20180201103GX, and by Project of Jilin Province Development and Reform Commission under Grant No. 2019FGWTZC001..

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Authors and Affiliations

  1. College of Computer Science and Technology, JiLin University, Changchun, China

    Shuai Li, Liang Hu, Chengyu Sun, Ling Chi & Hongtu Li

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  1. Shuai Li
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  2. Liang Hu
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  3. Chengyu Sun
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  4. Ling Chi
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  5. Hongtu Li
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Correspondence to Shuai Li.

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Li, S., Hu, L., Sun, C. et al. Comparative assessment of PEE methods and new performance measurement for RDH. Multimed Tools Appl 80, 23541–23560 (2021). https://doi.org/10.1007/s11042-021-10938-5

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  • DOI: https://doi.org/10.1007/s11042-021-10938-5

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