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Real-time double JPEG forensics for mobile devices

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Abstract

Double JPEG compression is the most common process to hide image manipulation. Therefore, it becomes necessary to detect the double JPEG compression. Several approaches have been developed for double JPEG compression detection with high accuracy, but they do not provide a unified solution in terms of real-time applicability. To address this issue, a new 953-dimensional unified detector is proposed. The unified detector is a combination of 44 spatial domain features and 909 frequency domain features. Extensive experiments are performed on UCID and RAISE databases to evaluate the robustness of the proposed detector. In addition, the proposed detector is evaluated and compared with a state-of-the-art method under a multi-class (9-class) classification.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, A-10, Sector-62, Noida, Noida, Uttar Pradesh, 201309, India

    Aanchal Agarwal

  2. RBS Services India Private Limited, NatWest Group, Candor Techspace, Sector-21, Dundahera, Gurugram, Haryana, 122016, India

    Abhinav Gupta

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  1. Aanchal Agarwal
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Agarwal, A., Gupta, A. Real-time double JPEG forensics for mobile devices. J Real-Time Image Proc 19, 727–737 (2022). https://doi.org/10.1007/s11554-022-01218-y

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