摄影术
光学
编码孔径
傅里叶变换
迭代重建
图像质量
图像分辨率
相位恢复
信噪比(成像)
合成孔径雷达
光圈(计算机存储器)
孔径合成
计算机科学
物理
计算机视觉
探测器
衍射
图像(数学)
干涉测量
量子力学
声学
作者
Lihao Hu,Xu Zhang,Bowen Wang
摘要
Recent advances in lensless imaging have demonstrated that the Fresnel zone aperture (FZA) camera can achieve incoherent imaging using four-step phase-shifting and perform synthetic aperture super-resolution reconstruction through Fourier ptychography. However, the reconstructed images are severely degraded due to the low signal-to-noise ratio of the imaging process. In this paper, we introduce total variation (TV) regularization to improve the quality of reconstruction in Fourier ptychography of the FZA camera. Numerical simulations and optical experiments verify that adding TV regularization to Fourier ptychography can increase the peak signal-to-noise ratio of the reconstructed images by 2 dB, enhancing the synthetic aperture super-resolution capability.
科研通智能强力驱动
Strongly Powered by AbleSci AI