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