You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
133 lines
6.2 KiB
133 lines
6.2 KiB
/*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
|
|
// 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
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// 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,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//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__ */
|