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Phase retrieval algorithms: a personal tour [Invited].

James R Fienup1

  • 1The Institute of Optics, University of Rochester, Rochester, New York 14627, USA. fienup@optics.rochester.edu

Applied Optics
|January 8, 2013
PubMed
Summary
This summary is machine-generated.

This paper explores phase retrieval, detailing its history and related algorithms. It highlights key works leading up to and citing a foundational 1982 comparison paper.

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Area of Science:

  • Optics
  • Signal Processing
  • Computational Imaging

Background:

  • Phase retrieval is a critical problem in various scientific fields.
  • Reconstructing phase information is essential for accurate image and data analysis.
  • The field has a rich history of algorithmic development.

Purpose of the Study:

  • To provide a historical overview of the phase retrieval field.
  • To discuss seminal works and their impact on subsequent research.
  • To contextualize the "Phase Retrieval Algorithms: a Comparison" paper (Appl. Opt. 21, 2758, 1982).

Main Methods:

  • Literature review and historical analysis.
  • Tracing citations and influences of key publications.
  • Personal narrative guiding the reader through the field's evolution.

Main Results:

  • Identification of foundational concepts and algorithms in phase retrieval.
  • Mapping the intellectual lineage of phase retrieval research.
  • Highlighting the significance of the 1982 comparison paper.

Conclusions:

  • The field of phase retrieval has evolved significantly over time.
  • Understanding the historical context is crucial for appreciating current advancements.
  • The 1982 paper remains a vital reference point in phase retrieval research.