测试科学与仪器2025，Vol.16Issue(3)：395-405,11.DOI:10.62756/jmsi.1674-8042.2025038
用于CMOS传感器的NLM-CDDFuse双增益Zamzam融合及ATEF-DRPI指标评估
Zamzam-Fusion for dual-gain with NLM-CDDFuse for CMOS sensors using ATEF-DRPI metric
IBRAHIM ISMAIL ATEF ISMAIL 1常玉春1
作者信息
- 1. 大连理工大学 集成电路学院,辽宁 大连 116024
- 折叠
摘要
Abstract
This paper presents an enhanced version of the correlation-driven dual-branch feature decomposition framework(CDDFuse)for fusing low-and high-exposure images captured by the G400BSI sensor.We introduce a novel neural long-term memory(NLM)module into the CDDFuse architecture to improve feature extraction by leveraging persistent global feature representations across image sequences.The proposed method effectively preserves dynamic range and structural details,and is evaluated using a new metric,the ATEF dynamic range preservation index(ATEF-DRPI).Experimental results on a G400BSI dataset demonstrate superior fusion quality,with ATEF-DRPI scores of 0.90,a 12.5%improvement over that of the baseline CDDFuse(0.80),indicating better detail retention in bright and dark regions.This work advances image fusion techniques for extreme lighting conditions,offering improved performance for downstream vision tasks.关键词
图像融合/G400BSI传感器/动态范围保持/低/高曝光融合/深度学习Key words
image fusion/G400BSI sensor/dynamic range preservation/low-and high-exposure fusion/deep learning引用本文复制引用
IBRAHIM ISMAIL ATEF ISMAIL,常玉春..用于CMOS传感器的NLM-CDDFuse双增益Zamzam融合及ATEF-DRPI指标评估[J].测试科学与仪器,2025,16(3):395-405,11.
