Improved phase retrieval algorithm for optical imaging systems

Shun Qin, Xinqi Hu, Bing Dong, Hongming Zhao, Huijie Du, Hong Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The Modified Hybrid-Input-Output (MHIO) phase retrieval algorithm is proposed for wavefront sensing. The results show that the MHIO algorithm significantly outperforms the Modified Gerchberg-Saxton algorithm (MGS) in large noise. However its dynamic-range is lower than MGS algorithm. It also shows that if combine the MGS algorithm with MHIO algorithm, which is called MGS+MHIO algorithm, then it can retain the property of MGS's high dynamic-range and MHIO's accuracy so that outperforms either MGS or MHIO algorithm. Repeating simulation results show that MGS+MHIO algorithm improves RMS of phase error obviously in high dynamic range and large noise.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2013
Subtitle of host publicationLaser Sensing and Imaging and Applications
DOIs
Publication statusPublished - 2013
Event5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013 - Beijing, China
Duration: 25 Jun 201327 Jun 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8905
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013
Country/TerritoryChina
CityBeijing
Period25/06/1327/06/13

Keywords

  • Comparison
  • High dynamic range
  • MGS+MHIO algorithm
  • MHIO algorithm
  • Noise suppression

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