AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms

• Published in: Computer modeling in engineering & sciences Vol. 140; no. 3; pp. 2315 - 2347
• Main Authors: Yin, Lirong, Wang, Lei, Lu, Siyu, Wang, Ruiyang, Ren, Haitao, AlSanad, Ahmed, AlQahtani, Salman A., Yin, Zhengtong, Li, Xiaolu, Zheng, Wenfeng
• Format: Journal Article
• Language: English
• Published: Henderson Tech Science Press 2024
• Subjects: Algorithms; Convolution; Feature extraction; Image resolution; Modules; Pixels

At present, super-resolution algorithms are employed to tackle the challenge of low image resolution, but it is difficult to extract differentiated feature details based on various inputs, resulting in poor generalization ability. Given this situation, this study first analyzes the features of some...