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An adaptive data hiding for AMBTC compressed images with recoverability using bound shifting technique

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Abstract

This paper proposes an efficient data hiding method for absolute moment block truncation coding (AMBTC) images with the recoverability of compressed code. The existing methods sacrifice some embedding capacity and image quality for recovering the AMBTC compressed code. To remedy these problems, this paper divides the quantized differences into four intervals to embed data bits with different lengths. Therefore, the embedding capacity is improved. Moreover, our method uses the bound shifting technique (BST) to provide a significant improvement in image quality. The experimental results show that the payload of our method increases by 19.14% and the image quality is also enhanced by 8.02% compared with prior works for the test Lena image.

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Acknowledgements

The paper is supported by the Science Foundation of Fujian Province (No. 2021 J01865) (No.2021 J01866), Open Project Fund of Fujian Shipping Research Institute.

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Authors and Affiliations

  1. School of Ocean Information Engineering, Jimei University, Xiamen, 361021, China

    Xiaoyu Zhou & Guangsong Yang

  2. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, 404, Taiwan

    Wien Hong & Tung-Shou Chen

  3. School of Electrical and Computer Engineering, Nanfang College of Guangzhou, Guangzhou, 510970, China

    Kia Sheng Chen

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  1. Xiaoyu Zhou
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  2. Guangsong Yang
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  3. Wien Hong
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  4. Kia Sheng Chen
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  5. Tung-Shou Chen
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Correspondence to Guangsong Yang or Wien Hong.

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Zhou, X., Yang, G., Hong, W. et al. An adaptive data hiding for AMBTC compressed images with recoverability using bound shifting technique. Multimed Tools Appl 82, 15593–15612 (2023). https://doi.org/10.1007/s11042-022-13961-2

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  • DOI: https://doi.org/10.1007/s11042-022-13961-2

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