An integrated method of copy-move and splicing for image forgery detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-018-5899-3/fulltext.html
Reference64 articles.
1. Amerini I, Ballan L, Caldelli R, Bimbo AD, Serra G (2011) A sift-based forensic method for copy–move attack detection and transformation recovery. IEEE Trans Inf Forensics Secur 6(3):1099–1110
2. Amerini I, Ballan L, Caldelli R, Bimbo AD, Tongo LD, Serra G (2013) Copy-move forgery detection and localization by means of robust clustering with j-linkage. Signal Process Image Commun 28(6):659–669
3. Andreopoulos A, Tsotsos JK (2013) 50 years of object recognition directions forward. Comput Vis Image Underst 117(8):827–891
4. Barnes C, Shechtman E, Finkelstein A, Goldman DB (2009) Patchmatch: A randomized correspondence algorithm for structural image editing. ACM Trans Graph 28(3):24–1
5. Bayram S, Sencar HT, Memon N (2009) An efficient and robust method for detecting copy-move forgery. In: Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, pp 1053–1056. IEEE
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. Image splicing detection using low-dimensional feature vector of texture features and Haralick features based on Gray Level Co-occurrence Matrix;Signal Processing: Image Communication;2024-07
2. Blind forgery detection using enhanced mask-region convolutional neural network;Multimedia Tools and Applications;2024-05-24
3. Copy-Move Video Forgery Detection Techniques: A Systematic Survey with Comparisons, Challenges and Future Directions;Wireless Personal Communications;2024-02
4. Passive Image Forgery Detection Techniques: A Review, Challenges, and Future Directions;Wireless Personal Communications;2024-02
5. Digital Images Authentication Technique Based on Multi-Blocks DCT and Singular Value Decomposition;2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2023-10-21
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