A robust face super-resolution algorithm and its application in low-resolution face recognition system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09072-5.pdf
Reference52 articles.
1. Abdi H., Williams L. J. (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433–459
2. Biswas S., Bowyer K. W., Flynn P. J. (2012) Multidimensional scaling for matching low-resolution face images. IEEE Transactions on Pattern Analysis and Machine Intelligence 34(10):2019–2030
3. Chakrabarti A., Rajagopalan A. N., Chellappa R. (2007) Super-resolution of face images using kernel pca-based prior. IEEE Transactions on Multimedia 9(4):888–892
4. Chang H., Yeung D. Y., Xiong Y. (2004) Super-resolution through neighbor embedding. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1–8
5. Chen C. L. P., Liu L., Chen L., Tang Y. Y., Zhou Y. (2015) Weighted couple sparse representation with classified regularization for impulse noise removal. IEEE Trans Image Process 24(11):4014–4026
Cited by 23 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 homogeneous low-resolution face recognition method using correlation features at the edge;Sensors and Systems for Space Applications XVII;2024-06-06
2. Robust Image watermarking using Tikhonov regularized image reconstruction technique;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
3. Advanced Encryption Standard (AES) Based Robust Watermarking Scheme;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10
4. GRAN: ghost residual attention network for single image super resolution;Multimedia Tools and Applications;2023-09-06
5. A new face reconstruction technique for noisy low-resolution images using regression learning;Computers and Electrical Engineering;2023-04
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