Residual Forward-Subtracted U-Shaped Network for Dynamic and Static Image Restoration

Author:

Jung Ho MinORCID,Kim Byeong HakORCID,Kim Min YoungORCID

Funder

Brain Korea 21 (BK21) Plus Project funded by the Ministry of Education, South Korea

Institute for Information and Communications Technology Promotion

Korea Government Ministry of Science and ICT (MSIT) through the Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding

Korea Institute for Advancement of Technology

Korea Government Ministry of Trade, Industry and Energy (MOTIE) through the Multichannel Telecommunications Control Unit and Associated Software

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 7 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 Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity;IEEE Journal of Biomedical and Health Informatics;2024-07

2. Image Denoising with Self Operational and Convolutional Cycle-GANs;2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2023-06-25

3. An Algorithm of Film Image Coloring and Image Restoration Based on DL;2023 International Conference on Networking, Informatics and Computing (ICNETIC);2023-05

4. Restoration of Spatially Variant Blurred Images with Wide-Field Telescope Based on Deep Learning;Sensors;2023-04-04

5. Fuzzy Joint Gaussian-Impulsive Noise Removal Using Joint Distribution Modelling in Sparse Domain;International Journal of Fuzzy System Applications;2022-10-21

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