Optimized highway deep learning network for fast single image super-resolution reconstruction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-020-00973-0.pdf
Reference36 articles.
1. Ha, V.K., Ren, J., Xu, X., et al.: Deep learning based single image super-resolution: a survey. Int. J. Autom. Comput. 16, 413–426 (2019)
2. Dong, C., Loy, C.C., He, K.M., Tang, X.O.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295–307 (2016)
3. Kim, J., Kwon Lee, J., Mu Lee, K.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1646–1654 (2016)
4. Kim, J., Kwon Lee, J., Mu L.K.: Deeply-recursive convolutional network for image super-resolution. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1637–1645 (2016)
5. Tai, Y., Yang, J., Liu, X.M.: Image super-resolution via deep recursive residual network. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 2790–2798 (2017)
Cited by 6 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. Review on Deep Learning Network Architectures for Image Reconstruction;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03
2. Unsupervised Low-Light Image Enhancement Based on Generative Adversarial Network;Entropy;2023-06-13
3. An enhanced SSD with feature cross-reinforcement for small-object detection;Applied Intelligence;2023-03-07
4. Artificial Intelligence-Based Super-Resolution Reconstruction Algorithm for Pulsed Multi-Frame Images;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24
5. An effective super resolution image reconstruction using spatial entropy based normalized deep convolutional neural network;Multimedia Tools and Applications;2022-03-09
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