摄影术
光学
迭代重建
傅里叶变换
图像分辨率
分辨率(逻辑)
相位恢复
编码孔径
计算机科学
图像传感器
频域
光圈(计算机存储器)
物理
计算机视觉
人工智能
衍射
探测器
量子力学
声学
作者
Xu Zhang,Yan Zhang,Sheng Li,Bowen Wang
摘要
Conventional lensless imaging modulates the image with a Fresnel zone aperture (FZA) as a mask and demodulates it with a four-step phase-shift and the virtual FZA. However, limited by the area size of the sensor, the actual diameter of the aperture used cannot be larger than the sensor, which reduces the resolution of the reconstructed image. To solve this problem, we propose a Fourier Ptychography-based lensless super-resolution imaging reconstruction method. By moving the position of the FZA in front of the sensor, the spectrum of the reconstructed image can be shifted in the frequency domain. Filling the extracted real spectrum at different positions in the frequency domain can realize lensless super-resolution imaging reconstruction. It is verified by simulation that our method can improve the resolution by three times compared with previous methods, which indicates that our method has broad application prospects in the field of lensless imaging.
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