文献类型：期刊文献

英文题名：IRANet: illumination-aware Dual-Branch Reversible Aggregation Network for Low-Light Image Enhancement

作者：Zhang, Mengmeng[1,2]; Yu, Zihao[3]; Bai, Huihui[4]; Jing, Hongyuan[2,5]; Liu, Zhi[3]

第一作者：Zhang, Mengmeng

机构：[1] North China University of Technology, Beijing Union University, Beijing Key Laboratory of Information Service Engineering, North East Ring Road 97, Beijing, 100020, China; [2] Beijing Union University, college of Robotics, China; [3] North China University of Technology, Beijing Key Laboratory of Intelligent Video Info Processing Laboratory, China; [4] Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute Information Science, Beijing, 100044, China; [5] Beijing Union University, Beijing Key Laboratory of Information Service Engineering, North East Ring Road 97, Beijing, 100020, China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[3]North China University of Technology, Beijing Key Laboratory of Intelligent Video Info Processing Laboratory, China

年份：2026

外文期刊名：IEEE Transactions on Circuits and Systems for Video Technology

收录：EI(收录号：20262821066100);Scopus(收录号：2-s2.0-105043952239)

语种：英文

外文关键词：Color - Computer system recovery - Quantum entanglement - Restoration

摘要：LLIE is challenged by illumination entanglement in the HVI color space, where coupling between illumination and chromaticity yields mismatched color–structure recovery. We propose the illumination-aware Dual-Branch Reversible Aggregation Network (IRANet), which reformulates enhancement as illumination-aware reasoning in HVI. However, under low-light conditions, the lack of long-distance contextual relationships compromises the stability of illumination-aware inference. To address the issue, we propose the Axis-Reversible Context Aggregator (ARCA), which restores long-distance context and stabilizes feature aggregation in both branches. The coherence of illumination reasoning is further hindered by limited synergy between the illumination and chromaticity branches. The Bidirectional illumination-aware Dependency (BIAD) mechanism establishes bidirectional illumination-aware dependencies between the I and HV branches, reinforcing coordinated fusion of illumination and chromaticity information. In addition, low-light enhancement still suffers from the lack of global consistency and local fidelity, for which the Multi-Scale Spatial–Channel Gating (MSCG) mechanism refines illumination and chromaticity information through spatial–channel gating and multi-scale channel gating to jointly maintain global consistency and local structural fidelity. Extensive experiments demonstrate that IRANet delivers SOTA performance with natural color restoration and structural fidelity under diverse low-light conditions. ? 1991-2012 IEEE.