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AIR-GANet:可见和红外图像融合的多头注意力集成残留密集区基于生成对抗网络

J Bineeshia1, B Vinoth Kumar2

  • 1Department of Information Technology, PSG College of Technology, Coimbatore, 641004, India. bineeshia.joel@gmail.com.

Scientific reports
|November 11, 2025
PubMed
概括

本研究介绍了AIR-GANet,这是一种使用多头注意力 (MA) 和剩余密集块 (RDB) 的新型红外和可见图像融合方法. 该技术通过保留热细节和纹理以改善分析来提高图像质量.

关键词:
深度学习是一种深度学习.生成性的对抗性网络.全球特征提取全球特征提取图像融合 图像融合 图像融合红外图像的红外图像.当地特征提取局部特征提取多头注意力多头注意力剩余的密集块块的残留物可见的图像图像可见的图像

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