Chung Jaebum, Martinez Gloria W, Lencioni Karen C, Sadda Srinivas R, Yang Changhuei
Department of Electrical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Office of Laboratory Animal Resources, California Institute of Technology, Pasadena, California 91125, USA.
Optica. 2019 May;6(5):647-661. doi: 10.1364/optica.6.000647. Epub 2019 May 10.
We report a novel generalized optical measurement system and computational approach to determine and correct aberrations in optical systems. The system consists of a computational imaging method capable of reconstructing an optical system's pupil function by adapting overlapped Fourier coding to an incoherent imaging modality. It recovers the high-resolution image latent in an aberrated image via deconvolution. The deconvolution is made robust to noise by using coded apertures to capture images. We term this method coded-aperture-based correction of aberration obtained from overlapped Fourier coding and blur estimation (CACAO-FB). It is well-suited for various imaging scenarios where aberration is present and where providing a spatially coherent illumination is very challenging or impossible. We report the demonstration of CACAO-FB with a variety of samples including an imaging experiment on the eye of a rhesus macaque to correct for its inherent aberration in the rendered retinal images. CACAO-FB ultimately allows for an aberrated imaging system to achieve diffraction-limited performance over a wide field of view by casting optical design complexity to computational algorithms in post-processing.
我们报告了一种新型的通用光学测量系统和计算方法，用于确定和校正光学系统中的像差。该系统由一种计算成像方法组成，该方法能够通过将重叠傅里叶编码应用于非相干成像模式来重建光学系统的光瞳函数。它通过去卷积恢复像差图像中潜在的高分辨率图像。通过使用编码孔径捕获图像，使去卷积对噪声具有鲁棒性。我们将这种方法称为基于编码孔径的重叠傅里叶编码和模糊估计像差校正（CACAO-FB）。它非常适合各种存在像差且提供空间相干照明极具挑战性或不可能的成像场景。我们报告了使用各种样本对CACAO-FB的演示，包括对恒河猴眼睛进行成像实验，以校正其渲染视网膜图像中的固有像差。CACAO-FB最终允许像差成像系统通过将光学设计复杂性转移到后处理中的计算算法，在宽视场上实现衍射极限性能。
