We propose a label enhanced and patch based deep learning phase retrieval approach
which can achieve fast and accurate phase retrieval using only several fringe patterns as …

A new method based on the shearlet transform is presented for phase extraction in fringe
projection profilometry (FPP) from a single fringe pattern. We apply the advanced shearlet …

Structured light 3D imaging is often used for obtaining accurate 3D information via phase
retrieval. Single-pattern structured light 3D imaging is much faster than multi-pattern …

A new multi-frequency inverse-phase method was proposed to compensate for nonlinear
phase errors in fringe projection profilometry and to measure the three-dimensional shape of …

Utilizing the refractive index as the endogenous contrast agent to noninvasively study
transparent cells is a working principle of emerging quantitative phase imaging (QPI). In this …

Hybrid single shot algorithm for accurate phase demodulation of complex fringe patterns is
proposed. It employs empirical mode decomposition based adaptive fringe pattern …

Gram-Schmidt orthonormalization is a very fast and efficient method for the fringe pattern
phase demodulation. It requires only two arbitrarily phase-shifted frames. Images are treated …

Successful single-frame fringe pattern preprocessing comprising high-frequency noise
minimization and low-frequency background removal represents often the crucial step of the …

Deep learning based on convolutional neural network (CNN) has attracted more and more
attention in phase unwrapping of fringe projection three-dimensional (3D) measurement …

Deep learning has been attracting more and more attention in the phase unwrapping of
fringe projection profilometry (FPP) in recent years. In order to improve the accuracy of the …