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在富里埃获取模式下,否定单像素成像

Pengcheng Xia, Le Wang, Shengmei Zhao

|April 3, 2024

概括

环境噪音降低了福里埃单像素成像 (FSPI) 质量. 本研究介绍了使用平均和高斯过器的简单无声化FSPI方案,增强图像稳定性和对噪声的细节保护.

科学领域:

光学是什么?光学是什么?光学是什么?
图像处理图像处理
计算成像技术的成像

背景情况:

环境噪音显著降低了福里埃单像素成像 (FSPI) 中的成像质量.
现有的无声化方法可能无法充分解决FSPI重建中的噪声干扰.
需要强大而高效的成像方案来减轻噪音影响.

研究的目的:

提出和评估使用线性过器的简单,高效的无色化单像素成像方案.
评估平均和高斯过器在减少FSPI环境噪声方面的有效性.
将拟议方案的绩效与传统的SPI方法进行比较.

主要方法:

实施两项已撤销的FSPI计划:SCH-A (平均波器) 和SCH-G (高斯波器).
在噪音条件下对图像重建质量的实验和基于模拟的分析.
评估不同模板大小和差异的过效应.

主要成果:

无论是SCH-A还是SCH-G都有效地降低了环境噪声的影响,比传统的SPI和SERING更具稳定性.
与SCH-A.相比,SCH-G保留了更多的图像细节和边缘.
增加模板大小可以增强在一致差异下对两个方案的过效应.

结论:

线性过,特别是使用平均和高斯过器,提供了一种简单有效的方法来消除FSPI.
与SCH-A相比,SCH-G提供了优越的细节保留,使其成为需要高保真度的应用程序的首选.
模板大小是优化过器性能的关键参数,在被拒绝的FSPI方案中.

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