Survey: Image forgery and its detection techniques-Reference-Cited by-同舟云学术

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Survey: Image forgery and its detection techniques

Published:2019-05-01 Issue:1 Volume:1228 Page:012036
ISSN:1742-6588
Container-title:Journal of Physics: Conference Series
language:
Short-container-title:J. Phys.: Conf. Ser.

Author:

Malathi J,Satya Nagamani T,Vijaya Lakshmi K N V S K,Rama devi P

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

https://iopscience.iop.org/article/10.1088/1742-6596/1228/1/012036/pdf

Reference5 articles.

1. Digital camera identification from sensor pattern noise;Lukas;IEEE Transactions on Information Forensics and Security,2006

2. Copy-Move Forgery Detection in Digital Images: Progress and Challenges;Kumar;International Journal on computer Science and Engineering,2011

3. Robust Method for Detection of Copy-Move Forgery in Digital Images;Khan,2010

4. Region Duplication Detection Using Image Feature Matching;Fitzpatrick;IEEE Transactions On Information Forensics And Security,2010

5. An efficient scheme for detecting copy-move forged images by local binarypatterns;Li;Journal of Information Hiding and Multimedia Signal Processing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Forgery Detection Using Combined 2D DWT-Neural Network;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

2. Anomaly Analysis in Images and Videos: A Comprehensive Review;ACM Computing Surveys;2022-12-15

3. An image forensic technique based on JPEG ghosts;Multimedia Tools and Applications;2022-09-30

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