Frequency Separation Network for Image Super-Resolution

Frequency Separation Network for Image Super-Resolution

It is well-known that high-frequency information (e.g. textures, edges) is significant for single image super-resolution (SISR). However, Existing of deep Convolutional Neural Network (CNN) based methods directly model mapping function from low resolution (LR) to high resolution (HR), and they treat...

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Bibliographic Details
Main Authors: Shanshan Li, Qiang Cai, Haisheng Li, Jian Cao, Lei Wang, Zhuangzi Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
frequency separation
image super-resolution
Online Access:https://ieeexplore.ieee.org/document/8990140/

Internet

https://ieeexplore.ieee.org/document/8990140/

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