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基于颜色通道合成的FZA无透镜相机超分辨图像重建

Superresolved image reconstruction in FZA lensless camera by color-channel synthesis.

作者信息

Nakamura Tomoya, Watanabe Takuto, Igarashi Shunsuke, Chen Xiao, Tajima Kazuyuki, Yamaguchi Keita, Shimano Takeshi, Yamaguchi Masahiro

出版信息

Opt Express. 2020 Dec 21;28(26):39137-39155. doi: 10.1364/OE.410210.

Abstract

The Fresnel-zone-aperture lensless camera using a fringe-scanning technique allows non-iterative well-conditioned image reconstruction; however, the spatial resolution is limited by the mathematical reconstruction model that ignores diffraction. To solve this resolution problem, we propose a novel image-reconstruction algorithm using the wave-optics-based design of the deconvolution filter and color-channel image synthesis. We verify a two-fold improvement of the effective angular resolution by conducting numerical simulations and optical experiments with a prototype.

摘要

采用条纹扫描技术的菲涅尔区孔径无透镜相机可实现非迭代的良态图像重建;然而,空间分辨率受忽略衍射的数学重建模型限制。为解决这一分辨率问题,我们提出一种新颖的图像重建算法,该算法采用基于波光学的反卷积滤波器设计和颜色通道图像合成。我们通过对原型进行数值模拟和光学实验,验证了有效角分辨率提高了两倍。

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