Copy-Move Forgery Detection Using Shift-Invariant SWT and Block Division Mean Features-Reference-Cited by-同舟云学术

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Copy-Move Forgery Detection Using Shift-Invariant SWT and Block Division Mean Features

Published:2018-12-07 Issue: Volume: Page:289-299
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Jaiswal Ankit Kumar,Srivastava Rajeev

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2685-1_28

Reference11 articles.

1. Ng, T. T., Chang, S. F., Lin, C. Y., & Sun, Q. (2006). Passive-blind Image Forensics. Multimedia Security Technologies for Digital Rights Management (pp. 383–412). https://doi.org/10.1016/b978-012369476-8/50017-8 .

2. English Oxford Living Dictionaries. Retrieved Oct 5, 2017 from https://en.oxforddictionaries.com/definition/tamper .

3. Fridrich, J. S., & David Lukáš, J. (2003). Detection of copy-move forgery in digital images. Procedure Digital Forensic Research Workshop, 3, 652–663. https://doi.org/10.1109/PACIIA.2008.240 .

4. Weihai, L., & Yu, N., Yuan, Y. (2008). Doctored JPEG image detection. In Proceedings of IEEE International Conference on Multimedia and Expo (pp. 253–256). https://doi.org/10.1109/icme.2008.4607419 .

5. Popescu, A. C., & Farid, H. (2004) Exposing digital forgeries by detecting duplicated image regions. Department of Computer Science Dartmouth College Technical Report TR2004-515 1–11. https://doi.org/10.1109/tsp.2004.839932 .

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