Lightweight Image Super-Resolution Based on Re-Parameterization and Self-Calibrated Convolution

Image super-resolution technique can improve image quality by increasing image clarity, bringing a better user experience in real production scenarios. However, existing convolutional neural network methods usually have very deep network layers and a large number of parameters, which causes feature...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Sufan, Chen, Xi, Huang, Xingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529453/
https://www.ncbi.nlm.nih.gov/pubmed/36199958
http://dx.doi.org/10.1155/2022/8628402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529453/
https://www.ncbi.nlm.nih.gov/pubmed/36199958
http://dx.doi.org/10.1155/2022/8628402

Ejemplares similares