JPEG compression history detection based on detail deviation

Bo Wang; Yabin Li; Jianxiang Zhao; Xue Sui; Xiangwei Kong; Bo Wang; Yabin Li; Jianxiang Zhao; Xue Sui; Xiangwei Kong

doi:10.3934/mbe.2019277

Mathematical Biosciences and Engineering

2019, Volume 16, Issue 5: 5584-5594. doi: 10.3934/mbe.2019277

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Research article Special Issues

JPEG compression history detection based on detail deviation

1.
School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China
2.
School of Psychology, Liaoning Normal University, Dalian, 116029, China
3.
Department of Data Science and Engineering, Zhejiang University, Hangzhou, 310007, China

Received: 24 January 2019 Accepted: 25 April 2019 Published: 17 June 2019

The authenticity of the image is crucial to many cases. The efficient detection of the JPEG compression history of bitmap image could reveal the possibility of tampering on the image. In this paper, we propose a lightweight but reliable JPEG compression detection method based on image information loss. An efficient feature of the decreasing percentage of zero coefficient is proposed to detect the JPEG compression history of an image, due to the increasing JPEG compression quality factor. In our method, estimated original images are first created. Then the given image and its estimated counterpart are compressed to get the JPEG coefficient. After that, the image information loss will be calculated. Through the analysis, the goal of the compression history detection can be achieved. Extensive experimental results have demonstrated that the proposed method outperforms the existing methods.
- compression history,
- bitmap,
- image information loss,
- JPEG coefficient
Citation: Bo Wang, Yabin Li, Jianxiang Zhao, Xue Sui, Xiangwei Kong. JPEG compression history detection based on detail deviation[J]. Mathematical Biosciences and Engineering, 2019, 16(5): 5584-5594. doi: 10.3934/mbe.2019277

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Abstract

The authenticity of the image is crucial to many cases. The efficient detection of the JPEG compression history of bitmap image could reveal the possibility of tampering on the image. In this paper, we propose a lightweight but reliable JPEG compression detection method based on image information loss. An efficient feature of the decreasing percentage of zero coefficient is proposed to detect the JPEG compression history of an image, due to the increasing JPEG compression quality factor. In our method, estimated original images are first created. Then the given image and its estimated counterpart are compressed to get the JPEG coefficient. After that, the image information loss will be calculated. Through the analysis, the goal of the compression history detection can be achieved. Extensive experimental results have demonstrated that the proposed method outperforms the existing methods.

References

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