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A forensic algorithm against median filtering based on coefficients of image blocks in frequency domain

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Abstract

Median filtering is a popular nonlinear denoising operator, it not only can be used for image enhancement, and it also is an effective tool in application of anti-forensics. So, the blind detection of median filtering is a particularly hot topic. Different from the existing median filtering forensic methods using the image pixel statistical features, this paper proposed a novel approach for detecting median filtering in digital images using coefficients of image blocks in frequency domain, based on the theory analysis and experiments test. Large numbers of experimental results show that the proposed approach achieved a high accuracy in median filtering detection and a good robustness of defending JPEG compression, the algorithm also can be used to locate the median filtering area. The approach achieves much better performance than the existing state-of-the-art methods with different format and size of image blocks, particularly when the image blocks are tiny and have high JPEG compression ratio.

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Authors and Affiliations

  1. College of Software, Nankai University, Tianjin, 300350, China

    Dong-ping Wang & Tiegang Gao

  2. School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, 300384, China

    Fusheng Yang

Authors
  1. Dong-ping Wang
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  2. Tiegang Gao
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  3. Fusheng Yang
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Corresponding author

Correspondence to Dong-ping Wang.

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Wang, Dp., Gao, T. & Yang, F. A forensic algorithm against median filtering based on coefficients of image blocks in frequency domain. Multimed Tools Appl 77, 23411–23427 (2018). https://doi.org/10.1007/s11042-018-5651-z

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  • DOI: https://doi.org/10.1007/s11042-018-5651-z

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