Zamzam-Fusion for dual-gain with NLM-CDDFuse for CMOS sensors using ATEF-DRPI metric
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...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Publishing Center of North University of China
2025-09-01
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| シリーズ: | Journal of Measurement Science and Instrumentation |
| 主題: | |
| オンライン･アクセス: | http://jmsi.publish.founderss.cn/thesisDetails#10.62756/jmsi.1674-8042.2025038 |
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