Basic difference between Multi-scale and Multi-resolution images

1. What is multi scale images?
2. What is meant by multi resolution?
3. What is multiresolution in image processing?
4. What is multi scale processing?

What is multi scale images?

Multiscale representations or multiresolution analysis/algorithms can be described as a class of design methods in representation theory where the data are subject to repeated transformation to extract features associated with different scales (Burt & Adelson, 1985). From: Human-Machine Shared Contexts, 2020.

What is meant by multi resolution?

Multiresolution analysis refers to breaking up a signal into components, which produce the original signal exactly when added back together. To be useful for data analysis, how the signal is decomposed is important.

What is multiresolution in image processing?

Multiresolution analysis: representation of a signal (e.g., an images) in more than one resolution/scale. • Features that might go undetected at one resolution may be easy to spot in another.

What is multi scale processing?

Multi Scale means different scale of details of the image. It comes from the intuition that blurring image with Gaussian Blur with σ vanishes data which is smaller then σ3. In practice it is similar to Multi Rate Analysis of Filters in Signal Processing.