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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
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// this list of conditions and the following disclaimer.
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//M*/
#include "opencv2/phase_unwrapping/phase_unwrapping.hpp"
#include "opencv2/phase_unwrapping/histogramphaseunwrapping.hpp"
/** @defgroup phase_unwrapping Phase Unwrapping API
Two-dimensional phase unwrapping is found in different applications like terrain elevation estimation
in synthetic aperture radar (SAR), field mapping in magnetic resonance imaging or as a way of finding
corresponding pixels in structured light reconstruction with sinusoidal patterns.
Given a phase map, wrapped between [-pi; pi], phase unwrapping aims at finding the "true" phase map
by adding the right number of 2*pi to each pixel.
The problem is straightforward for perfect wrapped phase map, but real data are usually not noise-free.
Among the different algorithms that were developed, quality-guided phase unwrapping methods are fast
and efficient. They follow a path that unwraps high quality pixels first,
avoiding error propagation from the start.
In this module, a quality-guided phase unwrapping is implemented following the approach described in @cite histogramUnwrapping .
*/
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