Frequency-Based Enhancement Network for Efficient Super-Resolution

Frequency-Based Enhancement Network for Efficient Super-Resolution

Recently, deep convolutional neural networks (CNNs) have provided outstanding performance in single image super-resolution (SISR). Despite their remarkable performance, the lack of high-frequency information in the recovered images remains a core problem. Moreover, as the networks increase in depth...

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Bibliographic Details
Main Authors: Parichehr Behjati, Pau Rodriguez, Carles Fernandez Tena, Armin Mehri, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzalez
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
frequency-based methods
lightweight architectures
single image super-resolution
Online Access:https://ieeexplore.ieee.org/document/9778017/

Internet

https://ieeexplore.ieee.org/document/9778017/

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