Intra Prediction-Based Hologram Phase Component Coding Using Modified Phase Unwrapping

Unwrapping highly wrapped phase using Nonlinear Multi Echo phase unwrapping

The unwrapping problem has been a major topic of research for over a decade. A variety of algorithms were suggested, but a correct solution is by no means guaranteed. In addition, many of these techniques are timeconsuming issues. In this work, we propose a simple and fast method, which combines conventional temporal unwrapping with a nonlinear phase model to unwrap highly wrapped Multi Echo da...

Phase Unwrapping

Phase unwrapping is the reconstruction of the originaltrue phase of a wave from its modulo 2p values. It origi-nates in a variety of applications, such as synthetic aper-ture radar, magnetic resonance imaging, and adaptiveoptics. In this article, the problem of two-dimensionalphase unwrapping is defined and the challenges are ad-dressed. A variety of established approach...

Phase Unwrapping Using Energy Minimization Methods for MRI Phase Image

Phase Unwrapping (PU) is reconstruction of absolute phase data from its wrapped phase. The absolute phase cannot be extracted from the wrapped phase data directly. Without phase noise, singularity, and aliasing problems, the phase information can be unwrapped easily. However, the phase data are always contaminated by noise and discontinuities, making the PU process more complicated. Therefore, ...

Quantitative Phase Imaging using Multi-wavelength Optical Phase Unwrapping

Phase unwrapping for noisy phase map using localized compensator.

Phase unwrapping for a noisy image suffers from many singular points. Singularity-spreading methods are useful for the noisy image to regularize the singularity. However, the methods have a drawback of distorting phase distribution in a regular area that contains no singular points. When the singular points are confined in some local areas, the regular region is not distorted. This paper propos...