Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation
Fix broken paper link for fastNlMeansDenoising * Fix broken link * Move citation to `opencv.bib` * Cite researchgate reference * Correct citation label * Use semantic scholar BibTex
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@ -1314,3 +1314,10 @@
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journal = {IEEE transactions on pattern analysis and machine intelligence},
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doi = {10.1109/TPAMI.2006.153}
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}
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@article{Buades2005DenoisingIS,
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title={Denoising image sequences does not require motion estimation},
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author={Antoni Buades and Bartomeu Coll and Jean-Michel Morel},
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journal={IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.},
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year={2005},
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pages={70-74}
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}
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@ -201,8 +201,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst,
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/** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
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captured in small period of time. For example video. This version of the function is for grayscale
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images or for manual manipulation with colorspaces. For more details see
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<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394>
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images or for manual manipulation with colorspaces. See @cite Buades2005DenoisingIS for more details
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(open access [here](https://static.aminer.org/pdf/PDF/000/317/196/spatio_temporal_wiener_filtering_of_image_sequences_using_a_parametric.pdf)).
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@param srcImgs Input 8-bit 1-channel, 2-channel, 3-channel or
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4-channel images sequence. All images should have the same type and
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@ -228,8 +228,8 @@ CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputA
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/** @brief Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
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captured in small period of time. For example video. This version of the function is for grayscale
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images or for manual manipulation with colorspaces. For more details see
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<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394>
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images or for manual manipulation with colorspaces. See @cite Buades2005DenoisingIS for more details
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(open access [here](https://static.aminer.org/pdf/PDF/000/317/196/spatio_temporal_wiener_filtering_of_image_sequences_using_a_parametric.pdf)).
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@param srcImgs Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
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2-channel, 3-channel or 4-channel images sequence. All images should
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