Cross-resolution feature attention network for image super-resolution

Anqi Liu; Sumei Li; Yongli Chang

doi:10.1007/s00371-022-02519-w

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Cross-resolution feature attention network for image super-resolution

Anqi Liu Sumei Li Yongli Chang

Year: 2022 Journal: The Visual Computer Vol: 39 (9)Pages: 3837-3849 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-022-02519-w

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Keywords:

Computer science Feature (linguistics) Artificial intelligence Block (permutation group theory) Convolutional neural network Pattern recognition (psychology) Image resolution Context (archaeology) Focus (optics) Resolution (logic) Image (mathematics) Residual Computer vision Algorithm Mathematics

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Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Cross-resolution feature attention network for image super-resolution

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