ASF-变压器:通过在空间和频率领域的交替学习中中和大气动荡对光学成像的影响
Optics express
|November 29, 2023
概括
这项研究介绍了交替空间频率变压器,以清除因大气动荡而退化的图像. 这种新的方法有效地恢复了微细细节,没有生成的对抗网络,为光学成像提供了一种新的方法.
科学领域:
- 光学工程是指光学工程.
- 图像处理 图像处理
- 计算光学是指计算机光学.
背景情况:
- 大气动荡显著降低了光学成像质量.
- 现有的方法通常依赖于复杂的生成对抗网络 (GAN).
研究的目的:
- 开发一种基于学习的方法,用于在光学成像中中和大气流效应.
- 引入一种由光学原理启发的新型神经网络架构.
主要方法:
- 提出了交替空间频率 (ASF) 变压器模型.
- 引入了空间和频率领域 (LASF) 交替学习机制.
- 使用了一个补丁快速里埃转换 (FFT) 损失函数.
主要成果:
- 在大气流下恢复图像质量的方面取得了最先进的性能.
- 证明了复杂纹理的有效恢复.
- 在各种测试介质中表现优于最近的方法.
结论:
- ASF变压器为缓解流的基于GAN的方法提供了有效的替代方案.
- 这项工作将光学理论集成到神经网络设计中,以提高性能.
- 为光学成像中的新型神经网络架构铺平了道路.
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