A robust multi-image phase retrieval. (February 2018)

• Record Type: Journal Article
• Authors: Guo, Cheng; Shen, Cheng; Tan, Jiubin; Bao, Xuejing; Liu, Shutian; Liu, Zhengjun
• Is Part Of: Optics and lasers in engineering. Volume 101(2018)
• Page Start: 16
• Page End: 22
• Publication Date: 2018-02
• Subjects: Phase retrieval -- Diffraction; Lasers in engineering -- Periodicals; Optical measurements -- Periodicals; Optics -- Periodicals; Lasers en ingénierie -- Périodiques; Mesures optiques -- Périodiques; Optique -- Périodiques; 621.36605
• DOI: 10.1016/j.optlaseng.2017.09.014
• Languages: English
• ISSNs: 0143-8166

Abstract

Highlight: A new robust hybrid algorithm of phase retrieval is proposed. The high accurate result can be obtained with this method. The convergence performance of iterative scheme is improved. Abstract: The phase evaluation is not perfect by using three kinds of existing multi-image phase retrieval methods. The amplitude-phase retrieval scheme is employed for initializing the input of the Multi-stage algorithm to obtain a robust result. The synthesized axial multi-image phase retrieval technique is able to be highly accurate convergent with continuous phase distribution of [0, 2π] and random phase distribution of [0, π], which is also demonstrated to have sharper edge for reconstructed phase map in experiment. This paper will provide a powerful and useful guidance for axial multi-image phase retrieval.