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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-96796-9 |
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