单个像素的弗雷内尔不连贯的关联全息采集使用喇网络压缩成像
Jiaosheng Li1, Yifei Chen1, Tianyun Liu1
1School of Photoelectric Engineering, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
Scientific reports
|June 14, 2024
概括
单像素弗雷内尔不连贯相关全息 (SP-FINCH) 提供了一个低成本,高分辨率的3D成像解决方案. 这种压缩成像方法使用Trumpet网络进行高效的数据重建,以较低的采样率提高图像质量.
科学领域:
- 光学和光子学 在光学和光子学.
- 计算成像技术的成像
- 全息影像的使用方法.
背景情况:
- 弗雷内尔不连贯相关全息 (FINCH) 能够实现高精度,非扫描的3D成像.
- 高带宽要求和数据量限制FINCH应用程序.
- 使用传统探测器进行高分辨率成像需要付出相当大的硬件成本.
研究的目的:
- 提出一个单个像素的弗雷内尔不连贯对应全息 (SP-FINCH) 压缩成像方法.
- 开发一种低成本,高分辨率的成像技术,使用单像素探测器.
- 设计一个Trumpet神经网络,以实现高效的图像重建.
主要方法:
- 一个经过修改的FINCH成像系统用单像素探测器进行数据采集.
- 一个号角网络被设计用于将1D采样数据端到端映射到2D图像.
- 重建的图像与传统的单像素重建方法进行了比较.
主要成果:
- 在较低的采样率下,SP-FINCH方法显著提高了图像重建质量.
- 拟议的方法可以实现成像,而不需要相位移动操作.
- 数字模拟和光学实验验证了该方法的可行性和优势.
结论:
- SP-FINCH为传统的全息成像系统提供了具有成本效益的替代方案.
- 号角网络有效地从压缩的单像素数据中重建高质量的图像.
- 这种方法解决了全息成像中带宽和硬件成本的限制.
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