2023
DOI: 10.1109/access.2023.3335382
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Feature Preserving and Enhancing Network for Image Super-Resolution

Minglan Su,
Xinchi Li,
Jiaoyang Xu
et al.

Abstract: Single image super-resolution (SISR) with deep convolutional neural networks has recently attracted increasing attention due to its potentials to generate rich details. To obtain better fidelity and visual quality, most of existing methods are of heavy design with the depth of network. However, the lack of highfrequency information in the deep network and the limit of non-local context relations of pixels remain the core issue. In addition, there are many arbitrary-scale image super-resolution tasks, so it is … Show more

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