Median filtering forensics based on optimum thresholding for low-resolution compressed images
Author:
Funder
Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-11945-w.pdf
Reference27 articles.
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3. Chen J, Kang X, Liu Y, Wang ZJ (2015) Median filtering forensics based on convolutional neural networks. IEEE Signal Process Lett 22(11):1849–1853. https://doi.org/10.1109/LSP.2015.2438008
4. Chen C, Ni J, Huang J (2013) Blind detection of median filtering in digital images: a difference domain based approach. IEEE Trans Image Process 22(12):4699–4710. https://doi.org/10.1109/TIP.2013.2277814
5. Chen Z, Tondi B, Li X, Ni R, Zhao Y, Barni M (2019) Secure detection of image manipulation by means of random feature selection. IEEE Trans Inf Forensics Secur 14(9):2454–2469. https://doi.org/10.1109/TIFS.2019.2901826
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