Howtosignalprocessing
If you don't need mathematical certainty and just want a heuristic, downsampling is faster and upsampling is more accurate.
- What is the benefit of downsampling?
- What is the difference between upsampling and downsampling?
- Why is upsampling important?
- When should you downsample?
What is the benefit of downsampling?
It makes the data of a more manageable size. Reduces the dimensionality of the data thus enabling in faster processing of the data (image) Reducing the storage size of the data.
What is the difference between upsampling and downsampling?
Downsampling is the reduction in spatial resolution while keeping the same two-dimensional (2D) representa- tion. It is typically used to reduce the storage and/or transmission requirements of images. Upsampling is the increasing of the spatial resolution while keeping the 2D representation of an image.
Why is upsampling important?
The purpose of Upsampling is to manipulate a signal in order to artificially increase the sampling rate. This is done by... Upsampling is an effective way to reduce time between samples of a signal without resampling the original signal.
When should you downsample?
Answering Jessica's question directly - one reason for downsampling is when you're working with a large dataset and facing memory limits on your computer or simply want to reduce processing time.
