Undersampling aliasing

1. Does undersampling cause aliasing?
2. What happens if a signal is Undersampled?
3. What is meant by undersampling?
4. What is undersampling in imaging?

Does undersampling cause aliasing?

Undersampling an image can lead to a common artifact known as aliasing, a form of spatial distortion of the minute details present in a digital image.

What happens if a signal is Undersampled?

Undersampling leads to three significant complications: (1) MTF and NPS do not behave as transfer amplitude and variance, respectively, of a single sinusoid, (2) the response of a digital system to a delta function is not spatially invariant and therefore does not fulfill certain technical requirements of classical ...

What is meant by undersampling?

Undersampling is a technique to balance uneven datasets by keeping all of the data in the minority class and decreasing the size of the majority class. It is one of several techniques data scientists can use to extract more accurate information from originally imbalanced datasets.

What is undersampling in imaging?

Undersampling occurs when the pixels on your camera sensor are too large for a given scope's focal length. This creates blocky, pixelated stars. This indicates that there are not enough pixels within the star to create a round star shape.