Open Access
| Issue |
MATEC Web of Conferences
Volume 57, 2016
4th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 4 | |
| Section | Electronic & Electrical Engineering | |
| DOI | https://doi.org/10.1051/matecconf/20165701014 | |
| Published online | 11 May 2016 | |
- S.Khan, A. Kulkarni, “An Efficient Method for Detection of Copy-Move Forgery Using Discrete Wavelet Transform,” IJCSE, 2, No.5, pp: 1801-1806, (2010) [Google Scholar]
- X. Quan, H.B. Zhang, “Copy-Move Forgery Detection in Digital Images Based on Local Dimension Estimation,” IEEE ICCSCWDF International Conference on (CyberSec), pp: 180 – 185, (2012) [Google Scholar]
- X. Wang, B. Xuan, S. L. Peng, “Digital image forgery detection based on the consistency of defocus blur,” IEEE ICIIHMSP, pp: 192 – 195, (2008) [Google Scholar]
- F. Peng, X.L.Wang, “Digital image forgery forensics by using blur estimation and abnormal hue detection,” SOPO, pp: 1 – 4, (2010) [Google Scholar]
- P. Kakar, S. Natarajan and W. Ser, “Detecting Digital Image Forgeries through Inconsistent Motion Blur,” ICME, pp: 486 - 491, (2010) [Google Scholar]
- J. Grim and P. Somol, “Digital Image Forgery Detection by Local Statistical Models,” IIH-MSP), pp: 579- 582, (2010) [Google Scholar]
- B. Xu, G. Liu and Y. Dai, “A Fast Image Copy-move Forgery Detection method using Phase Correlation,” MINES, pp: 319-322, (2012) [Google Scholar]
- L. Kang and X. Cheng, “Copy-move Forgery Detection in Digital Image,” CISP, pp: 2419-2421, (2010) [Google Scholar]
- Chandrasekhar, N.P.Rao, “Recent trends in Ant Colony Optimization and data clustering: a brief survey,” IAMA, pp: 32 – 36, (2011) [Google Scholar]
- S. Murali, B. S Anami, G. B Chittapur., “Detection of Digital Photo Image Forgery,” IEEE -ICACCCT, pp: 120 – 124, (2012) [Google Scholar]
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