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 …

Conditions of the digital recording of the fringe pattern determine the phase reconstruction
procedure, which in turn directly shapes the final accuracy and throughput of the full-field …

We report on a novel computational technique for automatic numerical refocusing in digital
in-line holographic microscopy. It is based on the adaptive filtering of the recorded on-axis …

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 …

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 …

We propose a high-accuracy artifacts-free single-frame digital holographic phase
demodulation scheme for relatively lowcarrier frequency holograms—deep learning …

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

Plankton imaging systems are capable of providing fine-scale observations that enhance
our understanding of key physical and biological processes. However, processing the large …

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 …

Phase extraction from single interferogram is of high significance and increasingly interest in
optical metrology. In this contribute we propose an advanced Pixel-level Lissajous Ellipse …