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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,
+ // are permitted provided that the following conditions are met:
+ //
+ //   * Redistribution's of source code must retain the above copyright notice,
+ //     this list of conditions and the following disclaimer.
+ //
+ //   * Redistribution's in binary form must reproduce the above copyright notice,
+ //     this list of conditions and the following disclaimer in the documentation
+ //     and/or other materials provided with the distribution.
+ //
+ //   * The name of the copyright holders may not be used to endorse or promote products
+ //     derived from this software without specific prior written permission.
+ //
+ // This software is provided by the copyright holders and contributors "as is" and
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+ // In no event shall the Intel Corporation or contributors be liable for any direct,
+ // indirect, incidental, special, exemplary, or consequential damages
+ // (including, but not limited to, procurement of substitute goods or services;
+ // loss of use, data, or profits; or business interruption) however caused
+ // and on any theory of liability, whether in contract, strict liability,
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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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