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An effective image self-recovery based fragile watermarking using self-adaptive weight-based compressed AMBTC

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Abstract

The quality of the watermarked image is degraded by introducing a large amount of the watermark, which also draws more attention of malicious attackers. Therefore, it is important to improve the quality of a watermarked image and improve the restoration capability of a tampered image. For this, a novel self-recovery based fragile watermarking scheme is proposed in this paper. To improve the watermarked image quality, a bit-reduction based AMBTC technology is employed to generate a watermark with fewer bits. The watermark is then embedded into the original image using turtle shell based data hiding technique. In the tampering detection phase, the high accuracy for tampering localization is achieved employing a two-level tampering detection strategy. Additionally, an effective self-adaptive weight-based recovery algorithm and an image inpainting algorithm are sequentially employed to provide improved recovered image quality. The experimental results show that the watermarked images appear to demonstrate higher quality (up to 49.76 dB), and the average PSNR of recovered images can be up to 34.65 dB, which is higher than that of the state-of-the-art methods.

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Acknowledgements

This work was supported by the Open Fund of Engineering Research Center for ICH Digitalization and Multi-Source Information Fusion of Fujian Province (FJ-ICH201901), the Education-Scientific Research Project for Middle-Aged and Young of Fujian Province (JAT160574, JT180621 and JAT190488), and the Natural Science Foundation of Fujian Province.

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Authors and Affiliations

  1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, People’s Republic of China

    Chin-Chen Chang

  2. Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung, 40724, Taiwan

    Chin-Chen Chang & Guo-Dong Su

  3. Department of Computer Science and Information Management, Providence University, Providence University, Taichung, 433, Taiwan

    Chia-Chen Lin

  4. Engineering Research Center for ICH Digitalization and Multi-source Information Fusion (Fuqing Branch of Fujian Normal University), Fujian Province University, Fuzhou, 350500, People’s Republic of China

    Guo-Dong Su

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  1. Chin-Chen Chang
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  2. Chia-Chen Lin
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Correspondence to Chia-Chen Lin.

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Chang, CC., Lin, CC. & Su, GD. An effective image self-recovery based fragile watermarking using self-adaptive weight-based compressed AMBTC. Multimed Tools Appl 79, 24795–24824 (2020). https://doi.org/10.1007/s11042-020-09132-w

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  • DOI: https://doi.org/10.1007/s11042-020-09132-w

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