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Blind Multiple Input Multiple Output Image Phase Retrieval

Guo, Yina, Zhao, Xiangning, Li, Jianyu, Wang, Anhong and Wang, Wenwu (2019) Blind Multiple Input Multiple Output Image Phase Retrieval IEEE Transactions on Industrial Electronics.

ALL_18-TIE-2378.pdf - Accepted version Manuscript

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In this paper, we consider the problem of recovering the phase information of the multiple images from the multiple mixed phaseless Short-Time Fourier Transform (STFT) image measurements, which is called the blind multiple input multiple output image phase retrieval (BMIPR) problem. It is an inherently ill-posed problem due to the lack of the phase and mixing information, and the existing phase retrieval algorithms are not explicitly designed for this case. To address the BMIPR phase retrieval problem, an integrated algorithm is presented, which combines a gradient descent (GD) algorithm by minimizing a nonconvex loss function with an independent component analysis (ICA) algorithm and a non-local means (NM) algorithm. Experimental evaluation has been conducted to show that under appropriate conditions the proposed algorithms can explicitly recover the images, the phases of the images and the mixing matrix. In addition, the algorithm is robust to noise.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Guo, Yina
Zhao, Xiangning
Li, Jianyu
Wang, Anhong
Date : 7 February 2019
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Blind multiple input multiple output image phase retrieval (BMIPR); Short-time Fourier transform (STFT); Non-convex optimization; Independent component analysis (ICA); Non-local means (NM)
Depositing User : Diane Maxfield
Date Deposited : 26 Feb 2019 12:14
Last Modified : 26 Feb 2019 12:17

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