登录 注册 会员服务 联系我们

Geometric transformation invariant block based copy-move forgery detection using fast and efficient hybrid local features

  • Published:2019-04 Issue: Volume:45 Page:44-51
  • ISSN:2214-2126
  • Container-title:Journal of Information Security and Applications
  • language:en
  • Short-container-title:Journal of Information Security and Applications

Author:

Soni BadalORCID,Das Pradip K.,Thounaojam Dalton Meitei

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference26 articles.

1. Distinctive image features from scale-invariant keypoints;Lowe;Int J Comput Vis,2004

2. Detection of duplication forgery in digital images in uniform and non-uniform regions;Mohamadian,2013

3. Copy-move forgery detection: survey, challenges and future directions;Warif;J Netw Comput Appl,2016

4. CMFD: A detailed review of block based and key feature based techniques in image copy-move forgery detection;Soni;IET Image Proc,2018

5. Detection of copy-move forgery in digital images using sift algorithm;Huang,2008

Cited by 35 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. A copy-move forgery detection technique using DBSCAN-based keypoint similarity matching;International Journal of Machine Learning and Cybernetics;2024-07-03

2. ORBcmfd: Oriented FAST and Rotated BRIEF Keypoints Based Image Copy-Move Forgery Detection;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

3. A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities;International Journal of Multimedia Information Retrieval;2023-08-23

4. An Efficient Image Forgery and Region Detection Using LogDIoU-Faster RCNN;Sensing and Imaging;2023-08-17

5. The study of various registration methods based on maximal stable extremal region and machine learning;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-08-16
同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3