Phase retrieval from single-shot square wave fringe based on image denoising using deep learning

Author:

Zhang Xiao12,Cheng Peng1,You ZhiSheng1,You Di34ORCID

Affiliation:

1. Sichuan University

2. Chengdu Aeronautic Polytechnic

3. Chinese Academy of Sciences

4. Key Laboratory of Optical Engineering

Abstract

Fringe-structured light measurement technology has garnered significant attention in recent years. To enhance measurement speed while maintaining a certain level of accuracy using binary fringe, this paper proposes a phase retrieval method with single-frame binary square wave fringe. The proposed method utilizes image denoising through deep learning to extract the phase, enabling the use of a trained image denoiser as a low-pass filter, which adaptively replaces the manual selection of the appropriate band-pass filter. The results demonstrate that this method achieves higher reconstruction accuracy than the traditional single-frame algorithm while preserving more object details.

Funder

Key research and development project of Sichuan Province

National Natural Science Foundation of China

Publisher

Optica Publishing Group

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