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通过压缩传感对单像素成像的常用算法的比较
Wenjing Zhao1, Lei Gao1, Aiping Zhai1
1College of Physics and Optoelectronics, Taiyuan University of Technology, No. 79 West Main Street, Taiyuan 030024, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
单像素成像 (SPI) 使用单个探测器进行先进的成像. 本综述探讨了SPI的压缩传感技术,测量矩阵和重建算法,以增强超越传统限制的图像重建.
科学领域:
- 光学和光子学 在光学和光子学.
- 信号处理 信号处理
- 计算机成像成像技术
背景情况:
- 传统的成像依赖于探测器阵列,面临着分辨率和成本的限制.
- 单像素成像 (SPI) 提供了使用单像素探测器的替代方案.
- 压缩传感 (CS) 可实现有效的信号采集和重建,适用于SPI.
研究的目的:
- 审查单像素成像 (CS-SPI) 中压缩传感的概念.
- 总结关键的测量矩阵和 CS-SPI 的重建算法.
- 分析CS-SPI方法的性能,优点和缺点.
主要方法:
- 用空间分辨模式照明目标.
- 用单像素探测器进行压缩采样反射/传输强度.
- 使用各种CS算法和测量矩阵重建图像.
主要成果:
- 通过模拟和实验证明了CS-SPI的可行性.
- 评估了不同CS-SPI方法的性能.
- 总结了各种测量矩阵和重建算法之间的权衡.
结论:
- CS-SPI提供了一种强大的方法来克服传统成像的局限性.
- 测量矩阵和重建算法的选择显著影响CS-SPI性能.
- 确定了CS-SPI的未来研究方向.
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