New and efficient blind detection algorithm for digital image forgery using homomorphic image processing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-7206-3.pdf
Reference49 articles.
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2. Al-amri S, Kalyankar N, Khamitkar S (2010) A comparative study of removal noise from remote sensing image. IJCSI Int J Comput Sci 7:32–36
3. Alherbawi N, Shukur Z, Sulaiman R (2018) JPEG image classification in digital forensic via DCT coefficient analysis. Multimed Tools Appl 77:12805–12835
4. Ashiba H, Awadallah K, El-Halfawy S, Abd El-Samie F (2008) Homomorphic enhancement of infrared images using the additive wavelet transform. Electromagnet Res C 1:123–130
5. Bhartiya G, Jalal A (2017) Forgery detection using feature-clustering in recompressed JPEG images. Multimed Tools Appl 76:20799–20814
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