Digital image splicing detection based on Markov features in block DWT domain
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/s11042-018-6230-z/fulltext.html
Reference48 articles.
1. Birajdar GK, Mankar VH (2013) Digital image forgery detection using passive techniques: a survey. Digit Investig 10(3):226–245
2. Chang CC, Lin CJ (2010) LIBSVM – a library for support vector machines. http://www.csie.ntu.edu.tw/cjlin/libsvm
3. Chen L, Lu W, Ni J (2012) An image region description method based on step sector statistics and its application in image copy-rotate/flip-move forgery detection. Int J Digit Crime and Forensics 4(1):49–62
4. Chen L, Lu W, Ni J, Sun W, Huang J (2013) Region duplication detection based on harris corner points and step sector statistics. J Vis Commun Image Represent 24(3):244–254
5. Christopoulos C, Skodras A, Ebrahimi T (2000) The JPEG2000 still image coding system: An overview. IEEE Trans Consum Electron 46(4):1103–1127
Cited by 24 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. DWT and LBP hybrid feature based deep learning technique for image splicing forgery detection;Soft Computing;2024-07-18
2. 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
3. Passive Image Forgery Detection Techniques: A Review, Challenges, and Future Directions;Wireless Personal Communications;2024-02
4. Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization;Biomimetics;2023-06-03
5. Image splicing detection with principal component analysis generated low-dimensional homogeneous feature set based on local binary pattern and support vector machine;Multimedia Tools and Applications;2023-03-09
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