于海滨, 陈蓓曦, 潘枝峰, 任伟锋, 张红刚. 光子集成干涉成像系统微透镜排布设计与图像复原[J]. 应用光学, 2022, 43(2): 213-220. DOI: 10.5768/JAO202243.0201005
引用本文: 于海滨, 陈蓓曦, 潘枝峰, 任伟锋, 张红刚. 光子集成干涉成像系统微透镜排布设计与图像复原[J]. 应用光学, 2022, 43(2): 213-220. DOI: 10.5768/JAO202243.0201005
YU Haibin, CHEN Beixi, PAN Zhifeng, REN Weifeng, ZHANG Honggang. Arrangement of microlens and image restoration technology of photon integrated interferometric imaging system[J]. Journal of Applied Optics, 2022, 43(2): 213-220. DOI: 10.5768/JAO202243.0201005
Citation: YU Haibin, CHEN Beixi, PAN Zhifeng, REN Weifeng, ZHANG Honggang. Arrangement of microlens and image restoration technology of photon integrated interferometric imaging system[J]. Journal of Applied Optics, 2022, 43(2): 213-220. DOI: 10.5768/JAO202243.0201005

光子集成干涉成像系统微透镜排布设计与图像复原

Arrangement of microlens and image restoration technology of photon integrated interferometric imaging system

  • 摘要: 光子集成干涉成像系统体积小、重量轻、功耗小,且系统分辨率不受单个透镜口径尺寸的限制,是一种新兴的成像技术。针对光子集成干涉成像系统图像复原问题,开展了图像复原技术和微透镜阵列最优排布研究,提出了基于压缩感知的光子集成干涉成像图像恢复技术,以及基于图像残差的最优微透镜阵列排布设计评估方法;通过计算仿真,可实现在有限空间体积限制下微透镜阵列最优设计,在干涉臂数量为75条,每条干涉臂上有38个微透镜时系统成像质量最佳。仿真结果表明:基于压缩感知算法的图像重构方法使系统RMSE(root mean squared error)降低了近90%,PSNR(peak signal to noise ratio)显著提高,图像复原的质量大幅度提升,并且在采用该算法的基础上对一定口径内微透镜排布方式对成像质量的影响进行了定量分析。

     

    Abstract: The photon integrated interferometric imaging system is an emerging imaging technology with small size, light weight and low power consumption, and its resolution is not limited by the aperture size of a single lens. For the image restoration problem of photon integrated interferometric imaging system, the studies on the image restoration technology and optimal arrangement of microlens array were conducted. The image restoration technology of photon integrated interferometric imaging based on the compressed sensing and the optimal arrangement design method of microlens array based on the image residuals were proposed. Through the computer simulation, the optimal design of the microlens array in the limited space volume could be realized, and the quality of the image restoration was improved significantly. The simulation results show that the system root-mean-squared error (RMSE) was reduced by nearly 90% through the image reconstruction method based on the compressed sensing algorithm, and the peak signal to noise ratio (PSNR) as well as the quality of the image restoration was improved significantly. Based on the proposed algorithm, the influence of the microlens arrangement of the certain aperture on the imaging quality is quantitatively analyzed.

     

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