Efficient image splicing detection algorithm based on markov features-Reference-Cited by-同舟云学术

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Efficient image splicing detection algorithm based on markov features

Published:2018-10-25 Issue:9 Volume:78 Page:12405-12419
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Pham Nam Thanh,Lee Jong-Weon,Kwon Goo-Rak,Park Chun-Su

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/s11042-018-6792-9.pdf

Reference37 articles.

1. Bappy JH, Roy-Chowdhury AK, Bunk J, Nataraj L, Manjunath BS (2017) Exploiting spatial structure for localizing manipulated image regions. In: Proceedings of the IEEE international conference on computer vision, pp 4970–4979

2. Bondi L, Lameri S, Guera D, Bestagini P, Delp EJ, Tubaro S (2017) Tampering detection and localization through clustering of Camera-Based CNN features. In: IEEE conference on computer vision and pattern recognition workshops (CVPRW), pp 1855–1864

3. Bunk J, Bappy JH, Mohammed TM, Nataraj L, Flenner A, Manjunath BS, Chandrasekaran S, Roy-Chowdhury AK, Peterson L (2017) Detection and localization of image forgeries using resampling features and deep learning, pp 1881–1889

4. Chen C, McCloskey S, Yu J (2017) Image splicing detection via camera response function analysis. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5087–5096

5. Chen W, Shi YQ, Su W (2007) Image Splicing Detection Using 2-D Phase Congruency and Statistical Moments of Characteristic Function. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX https://doi.org/10.1117/12.704321

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