TY - JOUR
T1 - Phase Retrieval of Quaternion Signal via Wirtinger Flow
AU - Chen, Junren
AU - Ng, Michael K.
N1 - The work of Michael K. Ng was supported in part by Hong Kong Research Grant Council GRF under Grants 12300519, 17201020, 17300021, C1013-21GF, and C7004-21GF and in part by the Joint NSFC-RGC under Grant N-HKU76921.
PY - 2023/8/7
Y1 - 2023/8/7
N2 - 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.
AB - 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.
KW - color image restoration
KW - nonconvex optimization
KW - Phase Retrieval
KW - quaternion signal processing
KW - spectral method
UR - http://www.scopus.com/inward/record.url?scp=85167791196&partnerID=8YFLogxK
U2 - 10.1109/TSP.2023.3300628
DO - 10.1109/TSP.2023.3300628
M3 - Journal article
AN - SCOPUS:85167791196
SN - 1053-587X
VL - 71
SP - 2863
EP - 2878
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
ER -