Complex amplitude reconstruction by iterative amplitude-phase retrieval algorithm with reference. (June 2018)

• Record Type: Journal Article
• Authors: Shen, Cheng; Guo, Cheng; Tan, Jiubin; Liu, Shutian; Liu, Zhengjun
• Is Part Of: Optics and lasers in engineering. Volume 105(2018)
• Page Start: 54
• Page End: 59
• Publication Date: 2018-06
• Subjects: Phase retrieval -- Image reconstruction techniques -- Computational imaging; 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.2018.01.004
• Languages: English
• ISSNs: 0143-8166

Abstract

Highlights: A new multi-image phase retrieval algorithm is proposed. The mismatch of distance measurements in multi-image phase retrieval is solved. More accurate reconstruction result and faster convergence speed is achieved in simulation and experiments. A prototype of a compact holographic image sensor is proposed. Abstract: Multi-image iterative phase retrieval methods have been successfully applied in plenty of research fields due to their simple but efficient implementation. However, there is a mismatch between the measurement of the first long imaging distance and the sequential interval. In this paper, an amplitude-phase retrieval algorithm with reference is put forward without additional measurements or priori knowledge. It gets rid of measuring the first imaging distance. With a designed update formula, it significantly raises the convergence speed and the reconstruction fidelity, especially in phase retrieval. Its superiority over the original amplitude-phase retrieval (APR) method is validated by numerical analysis and experiments. Furthermore, it provides a conceptual design of a compact holographic image sensor, which can achieve numerical refocusing easily.