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Resolution and signal-to-noise ratio enhancement for synthetic coded aperture imaging via varying pinhole array

机译:通过变化针孔阵列的合成编码孔径成像的分辨率和信噪比增强

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摘要

In traditional coded aperture imaging (CAI), the main problem with the deconvolution method is that the noise may dominate the decoding process. Focusing on this problem, a synthetic CAI (s-CAI) method is proposed with a potential to improve the signal-to-noise ratio (SNR) and spatial resolution of CAI. A series of raw coded images are recorded while the pinhole array is varied to different structures, and an iterative decoding algorithm is developed to reconstruct the object image by synthetically using all of these pinhole array structures and corresponding decoded images. Because the proposed iterative decoding algorithm has prominent advantage in noise immunization, and more spatial light components are acquired in comparison with common single-exposure CAI, both the image resolution and SNR are remarkably enhanced. (C) 2019 Optical Society of America.
机译:在传统的编码孔径成像(CAI)中,解卷积方法的主要问题是噪声可以占据解码过程。 专注于该问题,提出了一种具有改善CAI信噪比(SNR)和空间分辨率的潜力的合成CAI(S-CAI)方法。 在针孔阵列变化到不同的结构的同时记录一系列原料编码图像,并且开发了一种迭代解码算法以通过合成使用这些针孔阵列结构和对应的解码图像来通过合成来重建对象图像。 因为所提出的迭代解码算法在噪声免疫中具有突出的优点,并且与常见的单曝光CAI相比,获取更多的空间光分量,图像分辨率和SNR都显着增强。 (c)2019年光学学会。

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  • 来源
    《Applied optics》 |2019年第22期|共8页
  • 作者单位

    Jiangnan Univ Computat Opt Lab Dept Optoelect Informat Sci &

    Technol Sch Sci Wuxi 214122 Jiangsu Peoples R China;

    Jiangnan Univ Computat Opt Lab Dept Optoelect Informat Sci &

    Technol Sch Sci Wuxi 214122 Jiangsu Peoples R China;

    Jiangnan Univ Computat Opt Lab Dept Optoelect Informat Sci &

    Technol Sch Sci Wuxi 214122 Jiangsu Peoples R China;

    Jiangnan Univ Computat Opt Lab Dept Optoelect Informat Sci &

    Technol Sch Sci Wuxi 214122 Jiangsu Peoples R China;

    Jiangnan Univ Computat Opt Lab Dept Optoelect Informat Sci &

    Technol Sch Sci Wuxi 214122 Jiangsu Peoples R China;

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  • 正文语种 eng
  • 中图分类 应用;
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