How to ensure anti-aliasing in image resampling at lower resolution?

1. How do you prevent aliasing when downsampling an image?
2. How do I prevent image aliasing?
3. How and why is anti-aliasing used for downsampling?
4. How is anti-aliasing achieved?

How do you prevent aliasing when downsampling an image?

To avoid aliasing, a signal must not contain frequencies that are higher than one half the sample rate. Likewise, an input image must not contain details that are smaller than one pixel in the output image. This can be accomplished by appropriately filtering the signal or blurring the image before resampling it.

How do I prevent image aliasing?

Aliasing is generally avoided by applying low-pass filters or anti-aliasing filters (AAF) to the input signal before sampling and when converting a signal from a higher to a lower sampling rate.

How and why is anti-aliasing used for downsampling?

Anti-Alias Downsampling (AA) aims to improve the shift-equivariance of deep networks. Max-pooling is inherently composed of two operations. The first operation is to densely evaluate the max operator and second operation is naive subsampling.

How is anti-aliasing achieved?

Sometimes abbreviated as AA, anti-aliasing is a term that describes the software process of making the edges of graphics objects or fonts smoother. Accomplished by adding additional pixels in-between the edges of an object and its background.