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Is there a difference between resizing and rescaling an image in computer vision?

I have a research paper to implement. The author has used words rescale and resize in the context of an image. Are these two different operations or both mean the same thing.

Resizing:

"Resizing an object changes only the object's dimensions (width and height). For example, when you resize an object that has a specific stroke thickness, the stroke thickness stays the same when the object resizes."

Scaling:

"Scaling applies a transform to the object that resizes the object based on a multiple of the initial X, Y, and Z (three-dimensional objects only) values. For example, when you scale an object that has a specific stroke thickness, the stroke thickness scales when the object scales. This means that if you scale the object only by its x-axis value (the object's width), the stroke thickness for the width of the object will differ from the stroke thickness for the object's height (y-axis)."

I think this answers your question.
I took this info from this website .
Hope this answers is enough.

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