Title: Momentum-Accelerated Incoherent Fourier Ptychographic Photography 

Author(s): Wei, WL (Wei, Weilong); Xie, ZL (Xie, Zongliang); Ma, HT (Ma, Haotong); Qi, B (Qi, Bo); Ren, G (Ren, Ge) 

Source: IEEE PHOTONICS JOURNAL  Volume: 12  Issue: 2  Article Number: 3900414  DOI: 10.1109/JPHOT.2020.2984028  Published: APR 2020   

Abstract: Incoherent Fourier Ptychography (IFP) is a super-resolution imaging method, which requires lots of iteration time to recover the high-resolution object image from raw images. To improve the convergence rate of the IFP, we propose an improved algorithm, termed momentum-accelerated Incoherent Fourier Ptychography (mIFP). Based on the IFP algorithm, the mIFP adds momentum that is commonly used to accelerate the training of weights in a neural network. During the update process, the current vector is updated based on the downward trend of the objective function during several updates and the previous vector. The updated vector is then added to the objective function. We demonstrate the proposed approach by both simulations and experiments. By reducing the recovery time, mIFP may accelerate the applications of IFP. 

ISSN: 1943-0655 

eISSN: 1943-0647