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Image Reconstruction of Photonics Integrated Interference Imaging System: stablized CLEAN methods

机译:光子综合干扰成像系统的图像重建:稳定清洁方法

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Photonics Integrated Interference Imaging System (PIIIS) is a recently developed far-filed imaging approach aiming at high imaging performance and compact structure. Several sampling lenslet arrays have been proposed to acquire higher imaging quality. These lens configurations provide low-frequency intensive but high-frequency sparse measurements of complex visibility. However, this kind of sampling will induce Gibbs-ringing artifacts in inverse Fourier images. In this article, entropy prior and smoothness prior are proposed to remove the ringing artifacts, and stabilized CLEAN algorithms based on those priors are used to reconstruct images. A simulation experiment using hierarchical multistage sampling lens array is implemented, and the results show that these algorithms can eliminate the ringing artifacts.
机译:光子集成综合干扰成像系统(PIIIS)是最近开发的远摄成像方法,其旨在高成像性能和紧凑结构。 已经提出了几个采样透镜阵列来获得更高的成像质量。 这些镜头配置提供了具有复杂可见性的低频密集型但高频稀疏测量。 然而,这种采样将诱导逆傅里叶图像中的吉布斯响铃伪像。 在本文中,提出了先前的熵先前和平滑度以去除振铃伪像,并且基于这些前沿的稳定的清洁算法用于重建图像。 实现了使用等级多级采样镜头阵列的仿真实验,结果表明这些算法可以消除振铃伪影。

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