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Ref-MEF:以参考为指导的灵活门式图像重建网络,用于多次曝光图像融合

Yuhui Huang1, Shangbo Zhou1, Yufen Xu1

  • 1College of Computer Science, Chongqing University, Chongqing 400044, China.

Entropy (Basel, Switzerland)
|February 23, 2024
PubMed
概括

Ref-MEF是一种用于处理不同输入数量的多曝光图像融合 (MEF) 的新型参考引导方法. 它有效地产生高质量,详细的图像,优于现有的方法.

关键词:
计算摄影摄影的使用卷积神经网络是一种卷积神经网络.图像处理是图像处理的过程.多次曝光的核聚变.

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