Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010017(2023)
Single-Image Super-Resolution Reconstruction Aggregating Residual Attention Network
Fig. 1. Comparison of ResNet and ResNeXt. (a) ResNet structure; (b) ResNeXt structure; (c) proposed residual structure
Fig. 7. Experimental comparison result for image on BSD100 dataset. (a) Original image; (b) ResNeXt; (c) ResNeXt+SE; (d) ResNeXt+SimAM
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Yanfei Peng, Manting Zhang, Pingjia Zhang, Jian Li, Lirui Gu. Single-Image Super-Resolution Reconstruction Aggregating Residual Attention Network[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010017
Category: Image Processing
Received: Feb. 16, 2022
Accepted: Apr. 6, 2022
Published Online: May. 10, 2023
The Author Email: Zhang Manting (1016422506@qq.com)