Cargando…
SharpGAN: Dynamic Scene Deblurring Method for Smart Ship Based on Receptive Field Block and Generative Adversarial Networks
Complex marine environment has an adverse effect on the object detection algorithm based on the vision sensor for the smart ship sailing at sea. In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety, we propose SharpGAN, a new image deblurring...
Autores principales: | Feng, Hui, Guo, Jundong, Xu, Haixiang, Ge, Shuzhi Sam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197224/ https://www.ncbi.nlm.nih.gov/pubmed/34073793 http://dx.doi.org/10.3390/s21113641 |
Ejemplares similares
-
Cone-beam CT image quality improvement using Cycle-Deblur consistent adversarial networks (Cycle-Deblur GAN) for chest CT imaging in breast cancer patients
por: Tien, Hui-Ju, et al.
Publicado: (2021) -
SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing
por: Truong, Noi Quang, et al.
Publicado: (2020) -
Image Motion Deblurring Based on Deep Residual Shrinkage and Generative Adversarial Networks
por: Jiang, Wenbo, et al.
Publicado: (2022) -
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image
por: Yun, Chaeyeong, et al.
Publicado: (2023) -
Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition
por: Choi, Jiho, et al.
Publicado: (2021)