JOURNAL ARTICLE
LCRCA: image super-resolution using lightweight concatenated residual channel attention networks
Changmeng PengPei ShuXiaoyang HuangZhizhong FuXiaofeng Li
Year: 2022 Journal: Applied Intelligence Vol: 52 (9)Pages: 10045-10059 Publisher: Springer Science+Business Media
Keywords:
Computer science Residual Feature (linguistics) Bicubic interpolation Channel (broadcasting) Convolutional neural network Artificial intelligence Block (permutation group theory) Interpolation (computer graphics) Concatenation (mathematics) Convolution (computer science) Computation Source code Pattern recognition (psychology) Algorithm Artificial neural network Image (mathematics) Linear interpolation
Metrics
31
Cited By
3.59
FWCI (Field Weighted Citation Impact)
60
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Advanced Image Processing Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences → Engineering → Media Technology
Advanced Vision and Imaging
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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