Phase Retrieval of Quaternion Signal via Wirtinger Flow

Junren Chen, Michael K. Ng*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)

Abstract

The main aim of this paper is to study quaternion phase retrieval (QPR), i.e., the recovery of quaternion signal from the magnitude of quaternion linear measurements. We show that all d-dimensional quaternion signals can be reconstructed up to a global right quaternion phase factor from O(d) phaseless measurements. We also develop the scalable algorithm quaternion Wirtinger flow (QWF) for solving QPR, and establish its linear convergence guarantee. Compared with the analysis of complex Wirtinger flow, a series of different treatments are employed to overcome the difficulties of the non-commutativity of quaternion multiplication. Moreover, we develop a variant of QWF that can effectively utilize a pure quaternion priori (e.g., for color images) by incorporating a quaternion phase factor estimate into QWF iterations. The estimate can be computed efficiently as it amounts to finding a singular vector of a 4×4 real matrix. Motivated by the variants of Wirtinger flow in prior work, we further propose quaternion truncated Wirtinger flow (QTWF), quaternion truncated amplitude flow (QTAF) and their pure quaternion versions. Experimental results on synthetic data and color images are presented to validate our theoretical results. In particular, for pure quaternion signal recovery, our quaternion method often succeeds with notably fewer measurements compared to real-valued methods based on monochromatic model or concatenation model.

Original languageEnglish
Pages (from-to)2863-2878
Number of pages16
JournalIEEE Transactions on Signal Processing
Volume71
DOIs
Publication statusPublished - 7 Aug 2023

Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering

User-Defined Keywords

  • color image restoration
  • nonconvex optimization
  • Phase Retrieval
  • quaternion signal processing
  • spectral method

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