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Added normType parameter to fastNlMeansDenoisingMulti

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Erik Karlsson
2015-03-24 02:01:31 +01:00
parent 70a64ebe72
commit 01d3df0d00
2 changed files with 107 additions and 52 deletions
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modules/photo/include/opencv2/photo.hpp
+11 -7
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@@ -142,7 +142,8 @@ CV_EXPORTS_W void fastNlMeansDenoising( InputArray src, OutputArray dst, float h
<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, 3-channel or 4-channel image.
@param src Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
2-channel, 3-channel or 4-channel image.
@param dst Output image with the same size and type as src .
@param templateWindowSize Size in pixels of the template patch that is used to compute weights.
Should be odd. Recommended value 7 pixels
@@ -153,7 +154,7 @@ denoising time. Recommended value 21 pixels
parameter applied to all channels or one per channel in dst. Big h value
perfectly removes noise but also removes image details, smaller h
value preserves details but also preserves some noise
@param normType Type of norm used for weight calcluation. Can be either NORM_L2 or NORM_L1
@param normType Type of norm used for weight calculation. Can be either NORM_L2 or NORM_L1
This function expected to be applied to grayscale images. For colored images look at
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
@@ -220,9 +221,9 @@ captured in small period of time. For example video. This version of the functio
images or for manual manipulation with colorspaces. For more details see
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394>
@param srcImgs Input 8-bit 1-channel, 2-channel, 3-channel or
4-channel images sequence. All images should have the same type and
size.
@param srcImgs Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
2-channel, 3-channel or 4-channel images sequence. All images should
have the same type and size.
@param imgToDenoiseIndex Target image to denoise index in srcImgs sequence
@param temporalWindowSize Number of surrounding images to use for target image denoising. Should
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
@@ -238,10 +239,13 @@ denoising time. Recommended value 21 pixels
parameter applied to all channels or one per channel in dst. Big h value
perfectly removes noise but also removes image details, smaller h
value preserves details but also preserves some noise
@param normType Type of norm used for weight calculation. Can be either NORM_L2 or NORM_L1
*/
CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst,
int imgToDenoiseIndex, int temporalWindowSize,
const std::vector<float>& h , int templateWindowSize = 7, int searchWindowSize = 21);
int imgToDenoiseIndex, int temporalWindowSize,
const std::vector<float>& h,
int templateWindowSize = 7, int searchWindowSize = 21,
int normType = NORM_L2);
/** @brief Modification of fastNlMeansDenoisingMulti function for colored images sequences