Image Copy-Move Forgery Detection Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Image Copy-Move Forgery Detection Using Deep Convolutional Neural Networks

Published:2022 Issue: Volume: Page:85-99
ISSN:1860-949X
Container-title:Image Copy-Move Forgery Detection
language:
Short-container-title:

Author:

Soni Badal,Das Pradip K.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9041-9_7

Reference19 articles.

1. K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition (2014). arXiv:1409.1556

2. B. Bayar, M. Stamm, A deep learning approach to universal image manipulation detection using a new convolutional layer (2016), pp. 5–10

3. A. Kumar, B. Soni, A convnet based procedure for image copy-move forgery detection, in Machine Learning, Image Processing, Network Security and Data Sciences. ed. by A. Bhattacharjee, S.K. Borgohain, B. Soni, G. Verma, X..-Z.. Gao (Springer, Singapore, 2020), pp. 318–330

4. Y. Wu, W. Abd-Almageed, P. Natarajan, BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization: 15th European Conference, Munich, Germany, September 814, 2018, Proceedings, Part VI (2018), pp. 170–186

5. X. Wang, H. Wang, S. Niu, J. Zhang, Detection and localization of image forgeries using improved mask regional convolutional neural network, in Mathematical Biosciences and Engineering, vol. 16 (2019), pp. 4581–4593

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. A Unified Approach for Copy-Move Forgery Detection Using CNN and SIFT Localization;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. Image Forgery Detection Using Deep Learning Framework;2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE);2022-09-23

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

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