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Digital image forgery detection using passive techniques: A survey
2013
Digital Investigation. The International Journal of Digital Forensics and Incident Response
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An attempt is made to survey the recent developments in the field of digital image forgery detection and complete bibliography is presented on blind methods for forgery detection. ...
The present status of image forgery detection technique is discussed along with a recommendation for future research. ...
Acknowledgment The authors would like to thank the anonymous reviewers for their valuable and insightful comments on the earlier version of this manuscript. ...
doi:10.1016/j.diin.2013.04.007
fatcat:pqlzh2yciveqxgw2pbwfnay7nq
Image splicing detection with local illumination estimation
2015
2015 IEEE International Conference on Image Processing (ICIP)
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Based on reviewer scores and recommendations, 127 papers have been specifically recognized as the "Top 10%" papers in ICIP 2015 based on the average score of all reviewers . ...
RANKING FOR MOBILE 3D VISUAL SEARCH USING
HIERARCHICALLY STRUCTURED MULTI-VIEW FEATURES
David MARS, kth-Royal Institute of Technology
Hanwei WU, kth-Royal Institute of Technology
Haopeng LI, kth-Royal ...
Concluding the Show & Tell session will be a section concentrating on why the sensory gap is important to consider for practical applications, such as annotation tools, and image learning and mining systems ...
doi:10.1109/icip.2015.7351341
dblp:conf/icip/FanCF15
fatcat:7ja5gjnp5rafvedc2nman7xcru
Online) International Journal of Network Security is published both in traditional paper form (ISSN 1816-353X) and in Internet
2016
unpublished
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The authors gratefully acknowledge the anonymous reviewers for their valuable comments. ...
The authors gratefully acknowledge the anonymous reviewers for their valuable comments.
Acknowledgments
Acknowledgment The author acknowledges support by VEGA 1/0259/13. ...
An optimized weighting strategy was used in an earlier phase for yielding a fused score of all the features. ...
fatcat:xjcy7wc2hzbhzl3bfxwniqvjhy