Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network

doi:10.1109/JAS.2021.1004009

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network
	Long Sun; Zhenbing Liu; Xiyan Sun; Licheng Liu; Rushi Lan; Xiaonan Luo
刊名	IEEE/CAA Journal of Automatica Sinica
	2021
卷号	8 期号:7 页码:1271-1280
关键词	Convolutional neural network (CNN) lightweight framework multi-scale super-resolution
ISSN号	2329-9266
DOI	10.1109/JAS.2021.1004009
英文摘要	The tradeoff between efficiency and model size of the convolutional neural network (CNN) is an essential issue for applications of CNN-based algorithms to diverse real-world tasks. Although deep learning-based methods have achieved significant improvements in image super-resolution (SR), current CNN-based techniques mainly contain massive parameters and a high computational complexity, limiting their practical applications. In this paper, we present a fast and lightweight framework, named weighted multi-scale residual network (WMRN), for a better tradeoff between SR performance and computational efficiency. With the modified residual structure, depthwise separable convolutions (DS Convs) are employed to improve convolutional operations’ efficiency. Furthermore, several weighted multi-scale residual blocks (WMRBs) are stacked to enhance the multi-scale representation capability. In the reconstruction subnetwork, a group of Conv layers are introduced to filter feature maps to reconstruct the final high-quality image. Extensive experiments were conducted to evaluate the proposed model, and the comparative results with several state-of-the-art algorithms demonstrate the effectiveness of WMRN.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44581]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Long Sun,Zhenbing Liu,Xiyan Sun,et al. Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(7):1271-1280.
APA	Long Sun,Zhenbing Liu,Xiyan Sun,Licheng Liu,Rushi Lan,&Xiaonan Luo.(2021).Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network.IEEE/CAA Journal of Automatica Sinica,8(7),1271-1280.
MLA	Long Sun,et al."Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network".IEEE/CAA Journal of Automatica Sinica 8.7(2021):1271-1280.