Advancing Digital Image Forensics: Enhancing Image Forgery Detection Through Error Level Analysis and Convolutional Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3292-0_23
Reference16 articles.
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3. Al-Qershi OM, Khoo BE (2013) Passive detection of copy-move forgery in digital images: state-of-the-art. Forensic Sci Int 231(1–3):284–295. https://doi.org/10.1016/j.forsciint.2013.05.027
4. Gunawan TS, Hanafiah SA, Kartiwi M, Ismail N, Za’bah NF, Nordin AN (2017) Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis. Indones J Electr Eng Comput Sci 7(1):131. https://doi.org/10.11591/ijeecs.v7.i1.pp131-137
5. Makar M, Chang CL, Chen D, Tsai SS, Girod B (2009) Compression of image patches for local feature extraction. In: IEEE international conference on acoustics, speech and signal processing. IEEE, pp 821–824
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