Merge pull request #24521 from dkurt:fix_broken_urls

Fix some of the broken urls in docs #24521

### 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
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

doc/tutorials/core/univ_intrin/univ_intrin.markdown

@@ -245,7 +245,7 @@ In the following section, we will vectorize a simple convolution function for si
 
 You may learn more about convolution from the previous tutorial. We use the same naive implementation from the previous tutorial and compare it to the vectorized version.
 
-The full tutorial code is [here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/univ_intrin/univ_intrin.cpp).
+The full tutorial code is [here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/core/univ_intrin/univ_intrin.cpp).
 
 ### Vectorizing Convolution
 

doc/tutorials/imgproc/out_of_focus_deblur_filter/out_of_focus_deblur_filter.markdown

@@ -117,6 +117,6 @@ References
 - [SmartDeblur] - SmartDeblur site
 
 <!-- invisible references list -->
-[Digital Image Processing]: http://web.ipac.caltech.edu/staff/fmasci/home/astro_refs/Digital_Image_Processing_2ndEd.pdf
+[Digital Image Processing]: http://web.ipac.caltech.edu/staff/fmasci/home/RefMaterial/ImageProc/Book_DigitalImageProcessing.pdf
 [Image Deblurring in Matlab]: https://www.mathworks.com/help/images/image-deblurring.html
 [SmartDeblur]: http://yuzhikov.com/articles/BlurredImagesRestoration1.htm

doc/tutorials/introduction/building_tegra_cuda/building_tegra_cuda.markdown

@@ -40,7 +40,7 @@ Getting the Source Code {#tutorial_building_tegra_cuda_getting_the_code}
 
 There are two (2) ways to get the OpenCV source code:
 
-* Direct download from the [OpenCV downloads](http://opencv.org/releases.html) page
+* Direct download from the [OpenCV downloads](https://opencv.org/releases) page
 * Cloning the git repositories hosted on [GitHub](https://github.com/opencv)
 
 For this guide, the focus is on using the git repositories. This is because the 3.1.0 version of OpenCV will not build with CUDA 8.0 without applying a few small upstream changes from the git repository.

doc/tutorials/introduction/java_eclipse/java_eclipse.markdown

@@ -21,7 +21,7 @@ less mistakes. Here we go.
 Configuring Eclipse
 -------------------
 
-First, obtain a fresh release of OpenCV [from download page](http://opencv.org/releases.html) and
+First, obtain a fresh release of OpenCV [from download page](https://opencv.org/releases) and
 extract it under a simple location like `C:\OpenCV-2.4.6\`. I am using version 2.4.6, but the steps
 are more or less the same for other versions.
 

doc/tutorials/introduction/linux_install/linux_install.markdown

@@ -65,7 +65,7 @@ There are two methods of getting OpenCV sources:
 
 
 @note
-Snapshots of other branches, releases or commits can be found on the [GitHub](https://github.com/opencv/opencv) and the [official download page](https://opencv.org/releases.html).
+Snapshots of other branches, releases or commits can be found on the [GitHub](https://github.com/opencv/opencv) and the [official download page](https://opencv.org/releases).
 
 
 ## Configure and build {#tutorial_linux_install_detailed_basic_build}

doc/tutorials/introduction/macos_install/macos_install.markdown

@@ -53,7 +53,7 @@ You can use the latest stable OpenCV version or you can grab the latest snapshot
 
 ### Getting the Latest Stable OpenCV Version
 
--   Go to our [downloads page](http://opencv.org/releases.html).
+-   Go to our [downloads page](https://opencv.org/releases).
 -   Download the source archive and unpack it.
 
 ### Getting the Cutting-edge OpenCV from the Git Repository

doc/tutorials/introduction/transition_guide/transition_guide.markdown

@@ -201,7 +201,7 @@ All specialized `ocl` implementations has been hidden behind general C++ algorit
 
 New class cv::UMat is intended to hide data exchange with OpenCL device in a convenient way.
 
-Following example illustrate API modifications (from [OpenCV site](http://opencv.org/platforms/opencl.html)):
+Following example illustrate API modifications (from [OpenCV site](https://opencv.org/opencl)):
 
 -   OpenCL-aware code OpenCV-2.x
 @code{.cpp}