An improved block based copy-move forgery detection technique

Author:

Priyanka ,Singh Gurinder,Singh KulbirORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference36 articles.

1. Alahmadi A, Hussain M, Aboalsamh H, Muhammad G, Bebis G, Mathkour H (2017) Passive detection of image forgery using DCT and local binary pattern, Signal. Image and Video Processing 11(1):81–88

2. Alhussein M (2016). Image tampering detection based on local texture descriptor and extreme learning machine, Proceedings of18thInternational Conference on Computer Modelling and Simulation (UKSim), [18th: Cambridge, UK: April 2016], pp. 196-199.

3. Al-Qershi OM, Khoo BE (2018) Evaluation of copy-move forgery detection: datasets and evaluation metrics. Multimed Tools Appl 77:31807–31833

4. Amerini I, Ballan L, Caldelli R, Bimbo AD, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Transactions on Information Forensics and Security 6(3):1099–1110

5. Ardizzone E, Bruno A, and Mazzola G (2010). Copy-move forgery detection via texture description, Proceedings of the 2ndACM Workshop on Multimedia in Forensics, Security and Intelligence, [2nd: Firenze, Italy: October 2010], pp. 59-29.

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