A Lightweight Single-Image Super-Resolution Method Based on the Parallel Connection of Convolution and Swin Transformer Blocks

In recent years, with the development of deep learning technologies, Vision Transformers combined with Convolutional Neural Networks (CNNs) have made significant progress in the field of single-image super-resolution (SISR). However, existing methods still face issues such as incomplete high-frequen...

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Detalhes bibliográficos

Principais autores:	Tengyun Jing, Cuiyin Liu, Yuanshuai Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-02-01
coleção:	Applied Sciences
Assuntos:	image super-resolution CNN feature extract feature fusion Swin Transformer
Acesso em linha:	https://www.mdpi.com/2076-3417/15/4/1806
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