Eliminate discrepancies between signatures in documentation and OpenCV headers
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@@ -4,11 +4,11 @@ Denoising
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.. highlight:: cpp
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fastNlMeansDenoising
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-----------
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--------------------
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Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/
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with several computational optimizations. Noise expected to be a gaussian white noise
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.. ocv:function:: void fastNlMeansDenoising( Mat& src, Mat& dst, int templateWindowSize, int searchWindowSize, int h )
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.. ocv:function:: void fastNlMeansDenoising( InputArray src, OutputArray dst, float h=3, int templateWindowSize=7, int searchWindowSize=21 )
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:param src: Input 8-bit 1-channel, 2-channel or 3-channel image.
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@@ -25,10 +25,10 @@ Advanced usage of this functions can be manual denoising of colored image in dif
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Such approach is used in ``fastNlMeansDenoisingColored`` by converting image to CIELAB colorspace and then separately denoise L and AB components with different h parameter.
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fastNlMeansDenoisingColored
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-----------
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---------------------------
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Modification of ``fastNlMeansDenoising`` function for colored images
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.. ocv:function:: void fastNlMeansDenoisingColored( Mat& src, Mat& dst, int templateWindowSize, int searchWindowSize, int h, int hForColorComponents )
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.. ocv:function:: void fastNlMeansDenoisingColored( InputArray src, OutputArray dst, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21 )
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:param src: Input 8-bit 3-channel image.
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@@ -45,11 +45,11 @@ Modification of ``fastNlMeansDenoising`` function for colored images
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The function converts image to CIELAB colorspace and then separately denoise L and AB components with given h parameters using ``fastNlMeansDenoising`` function.
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fastNlMeansDenoisingMulti
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-----------
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-------------------------
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Modification of ``fastNlMeansDenoising`` function for images sequence where consequtive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces.
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For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394
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.. ocv:function:: void fastNlMeansDenoisingMulti( const std::vector<Mat>& srcImgs, int imgToDenoiseIndex, int temporalWindowSize, Mat& dst, int templateWindowSize, int searchWindowSize, int h)
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.. ocv:function:: void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, int templateWindowSize=7, int searchWindowSize=21 )
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:param srcImgs: Input 8-bit 1-channel, 2-channel or 3-channel images sequence. All images should have the same type and size.
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@@ -66,10 +66,10 @@ For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131
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:param h: Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
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fastNlMeansDenoisingColoredMulti
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-----------
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--------------------------------
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Modification of ``fastNlMeansDenoisingMulti`` function for colored images sequences
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.. ocv:function:: void fastNlMeansDenoisingColoredMulti( const std::vector<Mat>& srcImgs, int imgToDenoiseIndex, int temporalWindowSize, Mat& dst, int templateWindowSize, int searchWindowSize, int h, int hForColorComponents)
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.. ocv:function:: void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21 )
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:param srcImgs: Input 8-bit 3-channel images sequence. All images should have the same type and size.
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