Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis-Reference-Cited by-同舟云学术

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Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis

Published:2018-01-28 Issue:7 Volume:2018 Page:118-118
ISSN:2470-1173
Container-title:Electronic Imaging
language:
Short-container-title:ei

Author:

Mohammed Tajuddin Manhar,Bunk Jason,Nataraj Lakshmanan,Bappy Jawadul H.,Flenner Arjuna,Manjunath B.S.,Chandrasekaran Shivkumar,Roy-Chowdhury Amit K.,Peterson Lawrence A.

Publisher

Society for Imaging Science & Technology

Cited by 11 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. Unmasking the digital deception - a comprehensive survey on image forgery and detection techniques;Australian Journal of Forensic Sciences;2023-11-15

2. Identification of Image Forgeries using Machine Learning - A Review;Journal of Innovative Image Processing;2023-09

3. Digital Face Manipulation Creation and Detection: A Systematic Review;Electronics;2023-08-10

4. Scam Image Detection on Copy-Move by JPEG Features and Classical Block Matching with Improved Variant;Journal of Innovative Image Processing;2022-11-01

5. Utilizing Sensitive Features for Image Tampering Detection;2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE);2022-09-23

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