论文标题
通过傅立叶变换光谱法的无透镜高光谱成像可见光：相检索技术
Lensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique
论文作者
论文摘要
提出了一种来自嘈杂强度观察的宽带高光谱相成像的新型相检索算法。它利用了自我引用光学设置中的傅立叶变换光谱的优势，并提供了超出光谱强度分布，重建所研究对象的相位。噪声放大Fellgett的劣势通过在建议算法中嵌入的稀疏波前噪声滤波来放松。通过模拟测试和对透明对象的物理实验的结果证明了该算法的可靠性，这些实验证明了精确的相位成像和对象深度（配置文件）重建。
A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier Transform spectroscopy in the self-referencing optical setup and provides, additionally beyond spectral intensity distribution, reconstruction of the investigated object's phase. The noise amplification Fellgett's disadvantage is relaxed by the application of sparse wavefront noise filtering embedded in the proposed algorithm. The algorithm reliability is proved by simulation tests and results of physical experiments on transparent objects which demonstrate precise phase imaging and object depth (profile) reconstructions.
