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Simple accurate model‐based phase diversity phase retrieval algorithm for wavefront sensing in high‐resolution optical imaging systems

  • Published:2020-12 Issue:17 Volume:14 Page:4513-4519
  • ISSN:1751-9659
  • Container-title:IET Image Processing
  • language:en
  • Short-container-title:IET image process

Author:

Qin Shun1,Zhang Yongbing2,Wang Haoqian2,Chan Wai Kin1

Affiliation:

1. Tsinghua‐Berkeley Shenzhen InstituteTsinghua Shenzhen International Graduate School, Tsinghua UniversityShenzhenPeople's Republic of China

2. Graduate School at ShenzhenTsinghua Shenzhen International Graduate School, Tsinghua UniversityShenzhenPeople's Republic of China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. Phase retrieval: uniqueness and stability;Grohs P.;SIAM Rev.,2020

2. Phase retrieval with application to optical imaging: a contemporary overview;Shechtman Y.;IEEE Signal Process. Mag.,2015

3. Phase‐retrieval algorithms for a complicated optical system;Fienup J.R.;Appl. Opt.,1993

4. Phase retrieval and image reconstruction for astronomy;Fienup C.;Image Recovery, Theory Appl.,1987

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