A new phase retrieval method using sequential phase modulations

Chen, Xiaoyi; Duan, Yaxuan; Li, Hongguang; Wang, Pu; Li, Ming; Zhang, Da

doi:10.1007/s00340-020-7417-3

Cited by 2 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to facilitate comparison, only two cases δz = ± 0.1 mm and ± 0.5 mm of distance errors are shown in figure 3. Besides, the RMSs [37] of retrieved results compared with the theoretical values are shown at the bottom of each image. When these is no distance error (δz 0 mm), the RMS values of the retrieved and theoretical amplitudes, and the retrieved and theoretical phases are 1.14 × 10 −5 and 1.93 × 10 −5 , respectively.…”

Section: The Performance Under Different Distance Errorsmentioning

confidence: 99%

Improving physical parameters estimation in the single-beam multiple-intensity reconstruction

Chen¹,

Duan²,

Zhang³

2021

J. Opt.

Self Cite

View full text Add to dashboard Cite

The iterative phase retrieval based on phase diversity technologies can solve the stagnation problem of Gerchberg–Saxton algorithm which performs Fourier transform to iterate back and forth between the object and spectral planes with known constraints. However, the application of phase diversity technologies in iterative phase retrieval methods will bring in multiple physical parameters such as distances or wavelengths. The measured accuracy of these physical parameters will ultimately affect the accuracy of the iterative phase retrieval methods. In this paper, a physical parameters estimation method which has the advantages of high global convergence and local convergence is proposed to improve the accuracy of iterative phase retrieval methods. Meanwhile, this method is introduced in the single-beam multiple-intensity reconstruction (SBMIR), termed PE-SBMIR, and its performance is verified by simulations and experiments. By simulating multiple sets of distance parameters with errors, the retrieved accuracy using PE-SBMIR can be improved by 2–4 orders of magnitude compared with SBMIR. Experimental results show that whether it is an amplitude-type object or phase-type object, the accuracy using PE-SBMIR is significantly higher than using SBMIR. The physical parameters estimation method proposed in this paper may be adopted in other iterative phase retrieval methods using phase diversity technologies.

show abstract

Section: The Performance Under Different Distance Errorsmentioning

confidence: 99%

Improving physical parameters estimation in the single-beam multiple-intensity reconstruction

Chen¹,

Duan²,

Zhang³

2021

J. Opt.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nevertheless, only relying on the information provided by a single measured value results in the problems of convergence precision and low speed, and it is difficult to fulfil the expected requirements. Consequently, multi-intensity measurements have been proposed [15][16][17][18]. In these approaches, a set of amplitude or phase modulations are added sequentially between the recording plane and the object plane.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Multi-Distance Phase Retrieval via Unequal Interval Measurements

Yuan

Cao

et al. 2021

Photonics

View full text Add to dashboard Cite

In the conventional methods of multi-distance phase retrieval, the diffraction intensity patterns are recorded at equal intervals, which can induce slow convergence or stagnation in the subsequent reconstruction process. To solve this problem, a measurement method with unequal intervals is proposed in this paper. The interval spacings between adjacent measurement planes are decreased gradually. A large gap accelerates retrieval progress, and a short span helps to recover detailed information. The proposed approach makes full use of the available measured dataset and simultaneously generates variations in diversity amplitude, which is a crucial issue for the techniques of multi-image phase retrieval. Both computational simulations and experiments are performed. The results demonstrate that this method can improve the convergence speed by 2 to 3 times and enhance the quality of reconstruction results in comparison to that of the conventional methods.

show abstract

A new phase retrieval method using sequential phase modulations

Cited by 2 publications

References 37 publications

Improving physical parameters estimation in the single-beam multiple-intensity reconstruction

Improving physical parameters estimation in the single-beam multiple-intensity reconstruction

Enhancing Multi-Distance Phase Retrieval via Unequal Interval Measurements

Contact Info

Product

Resources

About