With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Single-shot 3D imaging and shape reconstruction has seen a surge of interest due to the
ever-increasing evolution in sensing technologies. In this paper, a robust single-shot 3D …

Multiple works have applied deep learning to fringe projection profilometry (FPP) in recent
years. However, to obtain a large amount of data from actual systems for training is still a …

Electronic speckle pattern interferometry (ESPI) is widely used in fields such as materials
science, biomedical research, surface morphology analysis, and optical component …

This paper presents a deep-learning-based algorithm dedicated to the processing of
speckle noise in phase measurements in digital holographic interferometry. The deep …

For 3D imaging and shape measurement, simultaneously achieving real-time and high-
accuracy performance remains a challenging task in practice. In this paper, a fringe …

Speckle denoising can improve digital holographic interferometry phase measurements but
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …

This paper presents a new processing method for denoising interferograms obtained by
digital holographic speckle pattern interferometry (DHSPI) to serve in the structural …

Two steps phase shifting interferometry has been a hot topic in the recent years. We present
a comparison study of 12 representative self–tunning algorithms based on two-steps phase …