Delete lena.jpg and any use of it from the JS tutorials

[arobase-che]

Pull Request Readiness Checklist

From the discussion of #25635.
Other references: #17461 #17713 #17714

For now, it only removes the Lena image from the JS tutorial.
Why only there ? Because it's easy and have more impact of the public image of OpenCV.

Every image I added came from the Kodak images set (often named Kodim) which is widely used in research papers.
I resized every image to be 400x400.
The dataset is available here: https://r0k.us/graphics/kodak/

The credit doesn't explicitly express the images are released for for unrestricted use but there are widely used already, even in the OpenCV extra repository.

• I agree to contribute to the project under Apache 2 License.
• 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
• 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

[opencv-alalek]

Please add detail into PR's description about the source and the license of added images.

[dkurt]

There are already existing images across OpenCV folders. Please choose between existing instead of adding new ones.

[arobase-che]

I'm sorry, I'm a little busy at the moment. Will add more information and use OpenCV images as soon as I can.

[arobase-che]

Ok, I edited the PR and the images metadata to add the source of the images.

To make it easier to review, here is a comparison side by side of the differences.

This one is a little tricky. It didn't work with Lena on the first model.

About using already used images. I'm looking for images so. I can't find ones in the doc directory that fit the need, especially the face recognition example.
Otherwise, apple.jpg and orange.jpg are OK but not really good.
In the directory samples I found:

• leuvenA.jpg
• starry_night.jpg
• board.jpg
• messi5.jpg
• butterfly.jpg

But none is good for the face detection example. Even group1 and group3 (which I guess use something better to detect faces).

From the opencv_extra repository.
I found those images that are interesting:

• 02.png
• aloeR.png
• reference.png
• memorial4.png
• statue.png
• test2.png
• test3.png
• 4_barcodes.jpg
• baboon.png
• kodim23.png

Note that there is 2 images from the Kodim (statue.png and kodim23.png).
Also, statue.png works for face detection but only one eye is visible (and detected), I didn' know if it's a problem or not.

Please help me to choose images if the ones I have chosen are not good. If I have to take only one image, I think we can choose statue.png.