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Fresnel aperture coding lensless imaging based on adaptive weighted TVAL3 regularization algorithm
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DOI：10.1016/j.optcom.2025.132543.png)
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无透镜成像将成像的负担从笨重且昂贵的硬件转移到计算上，从而为便携式相机提供了新的架构。然而，由于光波中缺少相位信息而引起的双像效应是限制无透镜成像质量的关键因素。为了提高成像质量，本文提出使用自适应加权增广拉格朗日函数方法与交替方向法来实现菲涅尔孔径编码的无透镜成像重建。实验结果表明，本文所使用的算法能够提高重建图像的质量并恢复图像的更多细节。
Keyword:
Lensless imaging
Fresnel aperture
Coded mask
Imaging reconstruction
期刊
IF:
2.5
论文数:
606
被引数:
2.7W
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