Fourier Ptychographic Microscopy Reconstruction Method Based on Weight Optimization

Fourier ptychographic microscopy (FPM) is a newly developed microscopic computing imaging technology in recent years, which can realize large field of view (FOV) and high-resolution microscopic imaging. This paper proposes an improved algorithm for weight optimization in view of the slow convergence speed and poor reconstruction quality of the Truncated Wirtinger Flow algorithm. The algorithm is proposed based on the Truncated Wirtinger Flow algorithm. By introducing weights, the changes of the objective function updated in the previous iteration are added to this iteration to optimize the performance of the algorithm. Through three sets of simulation experiments, it is proved that the proposed algorithm has a faster convergence rate than the original algorithm to achieve stability, and the reconstruction quality is better.