In:
Applied Optics, Optica Publishing Group, Vol. 60, No. 9 ( 2021-03-20), p. 2471-
Abstract:
Fourier ptychography microscopy provides a large field of view and
high-resolution imaging by simultaneously recovering intensity and phase distributions. However, in real setups, the process of capturing
large numbers of low-resolution images will inevitably suffer from imaging noise, which could seriously distort the results recovered
using the conventional Fourier ptychography approach. To suppress the effects of imaging noise optimally, a novel, to the best of our knowledge, iterative algorithm is
proposed. This algorithm consists of two objective functions; one is based on the augmented Lagrangian function for the inverse
computation, and its solution is found by utilizing the alternating direction multiplier method; the other is the separate sparse model
built for amplitude and absolute phase image; the filtering process is accomplished by exploiting the block-matching 3D frames. In
combination with the Nash equilibrium balancing theory, the proposed algorithm is realized by alternately optimizing the two objective
functions. The simulated and experimental results demonstrate that the proposed algorithm is robust to noise and is capable of reconstructing
complete and good contrast amplitude and phase images.
Type of Medium:
Online Resource
ISSN:
1559-128X
,
2155-3165
Language:
English
Publisher:
Optica Publishing Group
Publication Date:
2021
detail.hit.zdb_id:
207387-0
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