> If you are looking to understand how your operating system will display images, or how your graphics drivers work, or how photoshop will edit them, or what digital cameras aim to produce, then it’s the point sample definition.
In medical imaging, data are often acquired using anisotropic resolution. So a pixel (or voxel in 3D) can be an averaged signal sample originating from 2mm of tissue in one direction and 0.9mm in another direction.
If black and white or some other cases, but there are typically subpixels that can make things like sparse enough text stroke transitions get 3X horizontal resolution.
So is this a cheap gotcha because I only said "my monitor" and "most screens" the first couple times and didn't repeat it a third time? It's the one labeled just "LCD".
Or are you arguing that the slightly rounded corners on the rectangles make a significant difference in how the filtering math works out? It doesn't. On a scale between "gaussian" and "perfect rectangles", the filtering for this shape is 95% toward the latter.
> If you are looking to understand how your operating system will display images, or how your graphics drivers work, or how photoshop will edit them, or what digital cameras aim to produce, then it’s the point sample definition.