LUFormer:一个以亮度为基础的局部变压器,具有频率增强功能,用于夜间消除闪光灯
1School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
概括
一个新的光度信息化变压器网络LUFormer有效地通过整合全球光度先验和局部频率增强来消除图像耀斑. 这种方法在具有挑战性的夜景中显著提高了图像质量.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 人工智能的人工智能
背景情况:
- 图像耀斑是由夜间场景中的光散射和反射引起的,严重降低了视觉质量.
- 现有的闪光灯清除技术往往无法整合所有相关信息,限制了它们的有效性.
研究的目的:
- 提出LUFormer,一个用于强大的图像闪光灯移除的新型网络.
- 通过全面整合亮度和频率信息来解决当前方法的局限性.
主要方法:
- 开发了LUFormer,这是一个以光度为基础的变压器网络,具有局部化的频率增强.
- 引入了一个光度导向分支 (LGB) 用于全球亮度语义先验.
- 利用双域混合注意 (DDHA) 单元进行空间和频域特征增强.
主要成果:
- 在现实世界的基准指标上,LUFormer表现出比最先进的方法更优异的性能.
- LGB有效地捕捉了由耀斑引起的亮度分布中断.
- 通过扩大受体场和放大低频组件,DDHA提高了深度耀斑的表现.
结论:
- LUFormer在图像闪光灯移除技术方面取得了重大进展.
- 拟议的方法提供了一个强大的解决方案,用于在具有挑战性的夜间条件下提高图像质量.
- 全球发光率指导和局部多域关注的整合是该方法成功的关键.
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