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
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering