Difference between Sub Sampling and Down Scaling of Images

1. Is subsampling same as downsampling?
2. What is downsampling of an image?
3. What is downscaling an image?
4. What is subsampling of an image?

Is subsampling same as downsampling?

Pooling in the convolutional network is termed as downsampling or subsampling, which minimizes the number of neurons in the convolutional layer by retaining the important information.

What is downsampling of an image?

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.

What is downscaling an image?

Image downscaling is one of the most classical problems in computer vision that aims to preserve the visual appearance of the original image when it is resized to a smaller scale.

What is subsampling of an image?

Subsampling reduces the image size by removing information all together. Usually when you subsample, you also interpolate or smooth the image so that you reduce aliasing. Sub-sampling has another application in video processing - especially in MPEG where video is encoded in YCbCr.