There is a set of Pixel Level transforms that is used in the work Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

The authors also share the code => we can absorb some transforms that they have into the library.

https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py

• ShotNoise
• Defocus
• GlassBlur

Initial attempt failed, we need to fix the following issues:
SixLabors/ImageSharp#1302 (comment)

Disabling the two (likely) bugs with [ActiveIssue] might be also fine.

In skimage/util/arraycrop.py, we are using _as_pairs which belongs to numpy and is a private function.

The main issue is that the API may change at any time (and did happen). We must consider adding this code in our library.

Bonus: check if other private functions are used elsewhere (likely not).