A joint deep neural networks-based method for single nighttime rainy image enhancement
Author:
Funder
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04501-5.pdf
Reference36 articles.
1. Qian R, Tan RT, Yang W, Su J, Liu J (2018) Attentive generative adversarial network for raindrop removal from a single image. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2482–2491
2. Zhang H, Patel VM (2018) Density-aware single image de-raining using a multi-stream dense network. In: 2018 IEEE/CVF conference on computer vision and pattern recognition, pp 695–704
3. You S, Tan RT, Kawakami R, Mukaigawa Y, Ikeuchi K (2016) Adherent raindrop modeling, detectionand removal in video. IEEE Trans Pattern Anal Mach Intell 38(9):1721–1733
4. Kim JH, Lee C, Sim JY et al (2013) Single image deraining using an adaptive nonlocal means filter. In: Proceedings of 2013 20th IEEE international conference on image processing, Melbourne, pp 914–917
5. Shi Z, Li Y, Zhao M, Feng Y, He L (2018) Weighted median guided filter for single image rain removal. EURASIP J Image Video Process 2018:35. https://doi.org/10.1186/s13640-018-0275-9
Cited by 14 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. Hold surrounding’s key-you only look once version 7: a real-time pedestrian and vehicle detection algorithm in the low-signal-to-noise ratio infrared image;Optical Engineering;2023-11-29
2. Toward visual quality enhancement of dehazing effect with improved Cycle-GAN;Neural Computing and Applications;2022-11-01
3. A Deep Neural Network-Based Model for Quantitative Evaluation of the Effects of Swimming Training;Computational Intelligence and Neuroscience;2022-09-30
4. No rain in the world: A novel residual deep attention network for single image rain removal;Journal of Intelligent & Fuzzy Systems;2022-06-01
5. A video compression artifact reduction approach combined with quantization parameters estimation;The Journal of Supercomputing;2022-03-21
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