A Priori Information-Based Lightweight Convolutional Neural Network for Video Denoising

被引：0
|
作者：
Shentu, Min-Jian [1 ]
Zhu, Qiang [1 ]
Zhu, Shu-Yuan [1 ]
Meng, Xian-Dong [2 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu,611731, China
[2] Peng Cheng Laboratory, Guangdong, Shenzhen,518000, China
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2023年 / 51卷 / 06期
基金：
中国国家自然科学基金;
关键词：
23;
D O I：
10.12263/DZXB.20210679
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1510 / 1517
相关论文
共 50 条
  • [1] Indoor Video Flame Detection Based on Lightweight Convolutional Neural Network
    Zhikai Yang
    Leping Bu
    Teng Wang
    Peng Yuan
    Ouyang Jineng
    [J]. Pattern Recognition and Image Analysis, 2020, 30 : 551 - 564
  • [2] Indoor Video Flame Detection Based on Lightweight Convolutional Neural Network
    Yang, Zhikai
    Bu, Leping
    Wang, Teng
    Yuan, Peng
    Ouyang Jineng
    [J]. PATTERN RECOGNITION AND IMAGE ANALYSIS, 2020, 30 (03) : 551 - 564
  • [3] LD-Net: An Efficient Lightweight Denoising Model Based on Convolutional Neural Network
    Le, Trung-Hieu
    Lin, Po-Hsiung
    Huang, Shih-Chia
    [J]. IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2020, 1 : 173 - 181
  • [4] Pedestrian Tracking Algorithm for Video Surveillance Based on Lightweight Convolutional Neural Network
    Wei, Honglei
    Zhai, Xianyi
    Wu, Hongda
    [J]. IEEE ACCESS, 2024, 12 (24831-24842) : 24831 - 24842
  • [5] Learning Enriched Features for Video Denoising with Convolutional Neural Network
    Tang, Xianfeng
    Zhen, Peining
    Kang, Ming
    Yi, Hang
    Wang, Wei
    Chen, Hai-Bao
    [J]. APCCAS 2020: PROCEEDINGS OF THE 2020 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2020), 2020, : 248 - 251
  • [6] PDNet: A Lightweight Deep Convolutional Neural Network for InSAR Phase Denoising
    Yu, Hanwen
    Yang, Tianxiang
    Zhou, Lifan
    Wang, Yong
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [7] Denoising Convolutional Neural Network
    Xu, Qingyang
    Zhang, Chengjin
    Zhang, Li
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2015, : 1184 - 1187
  • [8] An ECG denoising method based on adversarial denoising convolutional neural network
    Hou, Yanrong
    Liu, Ruixia
    Shu, Minglei
    Chen, Changfang
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 84
  • [9] Radiation Image Denoising Based on Convolutional Neural Network
    Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing
    100084, China
    不详
    100084, China
    不详
    066004, China
    [J]. Yuanzineng Kexue Jishu, 9 (1678-1682):
  • [10] Infrared image denoising based on convolutional neural network
    Sun, Cheng
    Pan, Mingqiang
    Zhou, Bin
    Zhu, Zongjian
    [J]. 2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2018, : 499 - 502
12345