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Secure binary image steganography based on LTP distortion minimization

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Abstract

This paper proposes a secure binary image steganography by minimizing the flipping distortion on the statistics of local texture pattern (LTP) and constructing flexible carriers of syndrome-trellis code (STC). Firstly, the change of LTP’s statistic caused by flipping one pixel is employed to measure the flipping distortion of the corresponding pixel, which can well describe the flipping distortion on both statistics and vision. Secondly, we select the non-uniform blocks flexibly and reconstruct them as STC’s carriers, which can access a scalable and nearly continuous capacity upper bound to accommodate to the different secret message lengths. Our experimental results show that, for one specific message length, the security on both statistics and vision is improved significantly when the message length is closed to the capacity upper bound. The comparisons with previous steganographic schemes demonstrate the superiority of the proposed scheme.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. U1736118), the Key Areas R&D Program of Guangdong (No. 2019B010136002), the Key Scientific Research Program of Guangzhou (No. 201804020068), the Natural Science Foundation of Guangdong (No. 2016A030313350), the Special Funds for Science and Technology Development of Guangdong (No. 2016KZ010103), Shanghai Minsheng Science and Technology Support Program (17DZ1205500), Shanghai Sailing Program (17YF1420000), the Fundamental Research Funds for the Central Universities (No. 16lgjc83 and No. 17lgjc45).

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Authors and Affiliations

  1. School of Data and Computer Science, Guangdong Key Laboratory of Information Security Technology, Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-sen University, Guangzhou, 510006, China

    Yuileong Yeung, Wei Lu, Yingjie Xue, Junjia Chen & Ruipeng Li

  2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Wei Lu

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  1. Yuileong Yeung
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Correspondence to Wei Lu.

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Yeung, Y., Lu, W., Xue, Y. et al. Secure binary image steganography based on LTP distortion minimization. Multimed Tools Appl 78, 25079–25100 (2019). https://doi.org/10.1007/s11042-019-7731-0

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