Diff: opencv2/photo/cuda.hpp

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+++ b/opencv2/photo/cuda.hpp	Thu Mar 31 21:16:38 2016 +0000
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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) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2008-2012, Willow Garage Inc., 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
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+//
+//   * 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,
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+//
+//M*/
+
+#ifndef __OPENCV_PHOTO_CUDA_HPP__
+#define __OPENCV_PHOTO_CUDA_HPP__
+
+#include "opencv2/core/cuda.hpp"
+
+namespace cv { namespace cuda {
+
+//! @addtogroup photo_denoise
+//! @{
+
+/** @brief Performs pure non local means denoising without any simplification, and thus it is not fast.
+
+@param src Source image. Supports only CV_8UC1, CV_8UC2 and CV_8UC3.
+@param dst Destination image.
+@param h Filter sigma regulating filter strength for color.
+@param search_window Size of search window.
+@param block_size Size of block used for computing weights.
+@param borderMode Border type. See borderInterpolate for details. BORDER_REFLECT101 ,
+BORDER_REPLICATE , BORDER_CONSTANT , BORDER_REFLECT and BORDER_WRAP are supported for now.
+@param stream Stream for the asynchronous version.
+
+@sa
+   fastNlMeansDenoising
+ */
+CV_EXPORTS void nonLocalMeans(InputArray src, OutputArray dst,
+                              float h,
+                              int search_window = 21,
+                              int block_size = 7,
+                              int borderMode = BORDER_DEFAULT,
+                              Stream& stream = Stream::Null());
+
+/** @brief Perform image denoising using Non-local Means Denoising algorithm
+<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising> with several computational
+optimizations. Noise expected to be a gaussian white noise
+
+@param src Input 8-bit 1-channel, 2-channel or 3-channel image.
+@param dst Output image with the same size and type as src .
+@param h Parameter regulating filter strength. Big h value perfectly removes noise but also
+removes image details, smaller h value preserves details but also preserves some noise
+@param search_window Size in pixels of the window that is used to compute weighted average for
+given pixel. Should be odd. Affect performance linearly: greater search_window - greater
+denoising time. Recommended value 21 pixels
+@param block_size Size in pixels of the template patch that is used to compute weights. Should be
+odd. Recommended value 7 pixels
+@param stream Stream for the asynchronous invocations.
+
+This function expected to be applied to grayscale images. For colored images look at
+FastNonLocalMeansDenoising::labMethod.
+
+@sa
+   fastNlMeansDenoising
+ */
+CV_EXPORTS void fastNlMeansDenoising(InputArray src, OutputArray dst,
+                                     float h,
+                                     int search_window = 21,
+                                     int block_size = 7,
+                                     Stream& stream = Stream::Null());
+
+/** @brief Modification of fastNlMeansDenoising function for colored images
+
+@param src Input 8-bit 3-channel image.
+@param dst Output image with the same size and type as src .
+@param h_luminance Parameter regulating filter strength. Big h value perfectly removes noise but
+also removes image details, smaller h value preserves details but also preserves some noise
+@param photo_render float The same as h but for color components. For most images value equals 10 will be
+enough to remove colored noise and do not distort colors
+@param search_window Size in pixels of the window that is used to compute weighted average for
+given pixel. Should be odd. Affect performance linearly: greater search_window - greater
+denoising time. Recommended value 21 pixels
+@param block_size Size in pixels of the template patch that is used to compute weights. Should be
+odd. Recommended value 7 pixels
+@param stream Stream for the asynchronous invocations.
+
+The function converts image to CIELAB colorspace and then separately denoise L and AB components
+with given h parameters using FastNonLocalMeansDenoising::simpleMethod function.
+
+@sa
+   fastNlMeansDenoisingColored
+ */
+CV_EXPORTS void fastNlMeansDenoisingColored(InputArray src, OutputArray dst,
+                                            float h_luminance, float photo_render,
+                                            int search_window = 21,
+                                            int block_size = 7,
+                                            Stream& stream = Stream::Null());
+
+//! @} photo
+
+}} // namespace cv { namespace cuda {
+
+#endif /* __OPENCV_PHOTO_CUDA_HPP__ */
+