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Double JPEG compression detection based on block statistics

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Abstract

In this paper, a novel method is proposed to detect the aligned double JPEG compression with different quantization matrix. The proposed method is based on the theory that the correlation among adjacent coefficients of frequency spectrum in DCT blocks is enhanced after DCT transformation, and the correlation among same locations in adjacent DCT blocks is strong. Classification features are divided into two types, the intra-block frequency domain features and the inter-block frequency domain features. The intra-block frequency domain features are used to catch the strong correlation among adjacent coefficients in DCT blocks, and the inter-block frequency domain features are used to catch the correlation among same locations of adjacent DCT blocks. Then the intra-block frequency domain features with inter-block frequency domain features are combined as the classification features. Finally, the classification features are used to train classifiers to detect double JPEG compression. The results of extensive experiments demonstrate the effectiveness of the proposed method.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. U1736118), the Natural Science Foundation of Guangdong (No. 2016A030313350), the Special Funds for Science and Technology Development of Guangdong (No. 2016KZ010103), the Key Project of Scientific Research Plan of Guangzhou (No. 201804020068), 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, Sun Yat-sen University, Guangzhou, 510006, China

    Jixian Li & Wei Lu

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

    Wei Lu

  3. College of Information Science and Technology, Jinan University, Guangzhou, 510632, China

    Jian Weng

  4. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, China

    Yijun Mao

  5. School of Software, Shanghai Jiao Tong University, Shanghai, 200030, China

    Guoqiang Li

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  1. Jixian Li
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  2. Wei Lu
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  3. Jian Weng
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  4. Yijun Mao
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Correspondence to Jixian Li.

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Li, J., Lu, W., Weng, J. et al. Double JPEG compression detection based on block statistics. Multimed Tools Appl 77, 31895–31910 (2018). https://doi.org/10.1007/s11042-018-6175-2

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  • DOI: https://doi.org/10.1007/s11042-018-6175-2

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