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Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation

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Fix broken paper link for fastNlMeansDenoising

* Fix broken link

* Move citation to `opencv.bib`

* Cite researchgate reference

* Correct citation label

* Use semantic scholar BibTex
pull/23145/head
Ihsan Soydemir 2 years ago committed by GitHub
parent 974102bc7f
commit 6a7d54f550
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2 changed files with 11 additions and 4 deletions
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  1. 7
      doc/opencv.bib
  2. 8
      modules/photo/include/opencv2/photo.hpp

7
doc/opencv.bib
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@ -1314,3 +1314,10 @@
journal = {IEEE transactions on pattern analysis and machine intelligence}, journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/TPAMI.2006.153} doi = {10.1109/TPAMI.2006.153}
} }
@article{Buades2005DenoisingIS,
title={Denoising image sequences does not require motion estimation},
author={Antoni Buades and Bartomeu Coll and Jean-Michel Morel},
journal={IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.},
year={2005},
pages={70-74}
}

8
modules/photo/include/opencv2/photo.hpp
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@ -201,8 +201,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst,
/** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been /** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
captured in small period of time. For example video. This version of the function is for grayscale captured in small period of time. For example video. This version of the function is for grayscale
images or for manual manipulation with colorspaces. For more details see images or for manual manipulation with colorspaces. See @cite Buades2005DenoisingIS for more details
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394> (open access [here](https://static.aminer.org/pdf/PDF/000/317/196/spatio_temporal_wiener_filtering_of_image_sequences_using_a_parametric.pdf)).
@param srcImgs Input 8-bit 1-channel, 2-channel, 3-channel or @param srcImgs Input 8-bit 1-channel, 2-channel, 3-channel or
4-channel images sequence. All images should have the same type and 4-channel images sequence. All images should have the same type and
@ -228,8 +228,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputA
/** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been /** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
captured in small period of time. For example video. This version of the function is for grayscale captured in small period of time. For example video. This version of the function is for grayscale
images or for manual manipulation with colorspaces. For more details see images or for manual manipulation with colorspaces. See @cite Buades2005DenoisingIS for more details
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394> (open access [here](https://static.aminer.org/pdf/PDF/000/317/196/spatio_temporal_wiener_filtering_of_image_sequences_using_a_parametric.pdf)).
@param srcImgs Input 8-bit or 16-bit (only with NORM_L1) 1-channel, @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 2-channel, 3-channel or 4-channel images sequence. All images should

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