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Merge pull request #26754 from s-trinh:add_bibtex_direct_pdf_links

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Add direct pdf links in the bibliography #26754

Update and add pdf links in the bibliography.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
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s-trinh 2025-01-27 08:28:38 +01:00 committed by GitHub
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4 changed files with 570 additions and 484 deletions
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1048
doc/opencv.bib
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2
doc/tutorials/imgproc/out_of_focus_deblur_filter/out_of_focus_deblur_filter.markdown
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@ -24,7 +24,7 @@ In this tutorial you will learn:
Theory
------
@note The explanation is based on the books @cite gonzalez and @cite gruzman. Also, you can refer to Matlab's tutorial [Image Deblurring in Matlab] and the article [SmartDeblur].
@note The explanation is based on the books @cite Gonzalez1987 and @cite gruzman. Also, you can refer to Matlab's tutorial [Image Deblurring in Matlab] and the article [SmartDeblur].
@note The out-of-focus image on this page is a real world image. The out-of-focus was achieved manually by camera optics.
### What is a degradation image model?

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doc/tutorials/imgproc/periodic_noise_removing_filter/periodic_noise_removing_filter.markdown
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@ -20,7 +20,7 @@ In this tutorial you will learn:
Theory
------
@note The explanation is based on the book @cite gonzalez. The image on this page is a real world image.
@note The explanation is based on the book @cite Gonzalez1987. The image on this page is a real world image.
Periodic noise produces spikes in the Fourier domain that can often be detected by visual analysis.

2
modules/stitching/include/opencv2/stitching/detail/seam_finders.hpp
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@ -235,7 +235,7 @@ public:
enum CostType { COST_COLOR, COST_COLOR_GRAD };
};
/** @brief Minimum graph cut-based seam estimator. See details in @cite V03 .
/** @brief Minimum graph cut-based seam estimator. See details in @cite Kwatra03 .
*/
class CV_EXPORTS_W GraphCutSeamFinder : public GraphCutSeamFinderBase, public SeamFinder
{