Literature DB >> 32630921

On a universal solution to the transport-of-intensity equation.

Jialin Zhang, Qian Chen, Jiasong Sun, Long Tian, Chao Zuo.   

Abstract

The transport-of-intensity equation (TIE) is one of the most well-known approaches for phase retrieval and quantitative phase imaging. It directly recovers the quantitative phase distribution of an optical field by through-focus intensity measurements in a non-interferometric, deterministic manner. Nevertheless, the accuracy and validity of state-of-the-art TIE solvers depend on restrictive pre-knowledge or assumptions, including appropriate boundary conditions, a well-defined closed region, and quasi-uniform in-focus intensity distribution, which, however, cannot be strictly satisfied simultaneously under practical experimental conditions. In this Letter, we propose a universal solution to TIE with the advantages of high accuracy, convergence guarantee, applicability to arbitrarily shaped regions, and simplified implementation and computation. With the "maximum intensity assumption," we first simplify TIE as a standard Poisson equation to get an initial guess of the solution. Then the initial solution is further refined iteratively by solving the same Poisson equation, and thus the instability associated with the division by zero/small intensity values and large intensity variations can be effectively bypassed. Simulations and experiments with arbitrary phase, arbitrary aperture shapes, and nonuniform intensity distributions verify the effectiveness and universality of the proposed method.

Year:  2020        PMID: 32630921     DOI: 10.1364/OL.391823

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  5 in total

1.  Thermodynamic stability, structural and electronic properties for the C20-nAln heterofullerenes (n = 1-5): a DFT study.

Authors:  Akbar Hassanpour; Semih Yasar; Abdolghaffar Ebadi; Saeideh Ebrahimiasl; Sheida Ahmadi
Journal:  J Mol Model       Date:  2021-04-06       Impact factor: 1.810

2.  Evolving deep convolutional neutral network by hybrid sine-cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images.

Authors:  Chao Wu; Mohammad Khishe; Mokhtar Mohammadi; Sarkhel H Taher Karim; Tarik A Rashid
Journal:  Soft comput       Date:  2021-05-10       Impact factor: 3.732

3.  ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data.

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Journal:  Cells       Date:  2022-08-03       Impact factor: 7.666

4.  Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings.

Authors:  Ahmad Abbasi; Behnam Firouzi; Polat Sendur; Ali Asghar Heidari; Huiling Chen; Rajiv Tiwari
Journal:  Eng Comput       Date:  2021-08-03       Impact factor: 8.083

5.  Reconstructing the Spatial Parameters of a Laser Beam Using the Transport-of-Intensity Equation.

Authors:  Michael Kovalev; Iliya Gritsenko; Nikita Stsepuro; Pavel Nosov; George Krasin; Sergey Kudryashov
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

  5 in total

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