Deep Regression Network for Single-Image Super-Resolution Based on Down- and Upsampling with RCA Blocks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s40009-023-01353-5.pdf
Reference16 articles.
1. Xie C, Liu Y, Zeng W, Lu X (2019) An improved method for single image super-resolution based on deep learning. SIViP 13:557–565
2. Liu D, Wang Z, Wen B, Yang J, Han W, Huang TS (2016) Robust single image super-resolution via deep networks with sparse prior. IEEE Trans Image Process 25(7):3194–3207
3. Park SJ, Son H, Cho S, Hong KS, Lee S (2018) Srfeat: single image super-resolution with feature discrimination. In: Proceedings of the European conference on computer vision (ECCV), pp 439–455
4. Haut JM, Fernandez-Beltran R, Paoletti ME, Plaza J, Plaza A, Pla F (2018) A new deep generative network for unsupervised remote sensing single-image super-resolution. IEEE Trans Geosci Remote Sens 56(11):6792–6810
5. Chen Y, Wang J, Chen X, Zhu M, Yang K, Wang Z, Xia R (2019) Single-image super-resolution algorithm based on structural self-similarity and deformation block features. IEEE Access 7(11):58791–58801
Cited by 39 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. Block based motion estimation model using CNN with representative point matching algorithm for object tracking in videos;Expert Systems with Applications;2024-12
2. Lung disease prediction based on CT images using REInf-net and world cup optimization based BI-LSTM classification;Network: Computation in Neural Systems;2024-09-09
3. Secured and efficient MLP algorithm based on Sand Cat Swarm Optimization and homomorphic encryption for healthcare data;Progress in Artificial Intelligence;2024-09-03
4. Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture;Expert Systems with Applications;2024-09
5. Deep RegNet-150 architecture for single image super resolution of real-time unpaired image data;Applied Soft Computing;2024-09
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