A lightweight large receptive field network LrfSR for image super-resolution

A lightweight large receptive field network LrfSR for image super-resolution

Abstract Deep convolutional neural networks have demonstrated excellent performance in the field of single-image super-resolution (SISR) reconstruction. However, existing methods often suffer from issues such as large number of parameters, intensive computation, and high latency, which limit the app...

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Bibliographic Details
Main Authors: Wanqin Wang, Shengbing Che, Wenxin Liu, Yangzhuo Tuo, Yafei Du, Zixuan Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Single image super-resolution
Lightweight large receptive field network
Large receptive field distillation module
Enhanced contrastive perception channel attention module
Simplified enhanced spatial attention module
Online Access:https://doi.org/10.1038/s41598-025-96796-9
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https://doi.org/10.1038/s41598-025-96796-9

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