RMANet: Refined-mixed attention network for progressive low-light image enhancement

Open Webpage

Ke Chen, Kaibing Zhang, Feifei Pang, Xinbo Gao, Guang Shi

Published: 01 Jan 2025, Last Modified: 25 Jan 2025Signal Process. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel progressive RMANet is proposed for impressive low-light image enhancement.•A RMAM is designed for adaptive selection and recalibration for multi-scale feature fusion.•The proposed method shows great adaptability to various low-light conditions.