Lightweight image super-resolution with a feature-refined network

Feiqiang Liu; Xiaomin Yang; Bernard De Baets

doi:10.1016/j.image.2022.116898

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Lightweight image super-resolution with a feature-refined network

Feiqiang Liu Xiaomin Yang Bernard De Baets

Year: 2022 Journal: Signal Processing Image Communication Vol: 111 Pages: 116898-116898 Publisher: Elsevier BV

DOI: 10.1016/j.image.2022.116898

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Keywords:

Computer science Feature (linguistics) Convolutional neural network Pattern recognition (psychology) Block (permutation group theory) Artificial intelligence Focus (optics) Layer (electronics) Image (mathematics) Feature extraction Construct (python library) Mathematics

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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

Lightweight image super-resolution with a feature-refined network

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