A Novel Method for Detecting Double Compressed Facebook JPEG Images

Author:

NG Allan,Pan Lei,Xiang Yang

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Ardizzone, E., Bruno, A., Mazzola, G.: Copy-Move Forgery Detection via Texture Description. In: Proceedings of the 2nd ACM Workshop on Multimedia in Forensics, Security and Intelligence (2010)

2. Bianchi, T., Piva, A.: Analysis of Non-Aligned Double JPEG Artifacts for the Localization of Image Forgeries. In: Proceedings of the IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1–6 (2011)

3. Fei, P., Xi-lan, W.: Digital Image Forgery Forensics by Using Blur Estimation and Abnormal Hue Detection. In: Proceedings of the Symposium on Photonics and Optoelectronic (SOPO), pp. 1–4 (2010)

4. Hou, W., Ji, Z., Jin, X., Li, X.: Double JPEG Compression Detection Base on Extended First Digit Features of DCT Coefficients. International Journal of Information and Education Technology 3(5), 512–515 (2013)

5. Huang, F., Huang, J., Shi, Y.: Detecting Double Compression with the Same Quantization Matrix. IEEE Transactions on Information Forensics and Security 5(4), 848–856 (2010)

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