Robust phase retrieval with green noise binary masks

Qiuliang Ye, Yuk Hee Chan, Michael G. Somekh, Daniel P.K. Lun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


Phase retrieval with pre-defined optical masks can provide extra constraints and thus achieve improved performance. Recent progress in optimization theory demonstrates the superiority of random masks in enhancing the accuracy of phase retrieval algorithms. However, traditional approaches only focus on the randomness of the masks but ignore their non-bandlimited nature. When using these masks for phase retrieval, the intensity measurements contain many significant high-frequency components that the phase retrieval algorithm cannot take care of and thus leads to degraded performance. Based on the concept of digital halftoning, this paper proposes a green noise binary masking scheme that can significantly reduce the high-frequency contents of the masks while fulfilling the randomness requirement. The resulting intensity measurements will contain data concentrated in the mid-frequency band and around zero frequency areas which can be fully utilized in the phase retrieval optimization process. Our experimental results show that the proposed green noise binary masking scheme consistently outperforms the traditional ones when using in binary coded diffraction pattern phase retrieval systems.

Original languageEnglish
Article numberArticle number 106808
JournalOptics and Lasers in Engineering
Publication statusPublished - Feb 2022


  • Coded diffraction patterns
  • Green noise mask
  • Non-bandlimited noise
  • Phase retrieval

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Mechanical Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Robust phase retrieval with green noise binary masks'. Together they form a unique fingerprint.

Cite this