What is sampling in digital imaging?

Digital imaging is becoming a predominant part of our everyday life!

It helps in the conversion of printed text or artwork or photographs into high-resolution digital images with an imaging device or a scanner.

In the field of digital imaging, the term sampling is often used by individuals.

It is termed as a process that converts the analog signals into some sort of discrete values. In the layman language, sampling is defined as the process that records the analog signals to convert them into apt signals for producing desired results.

In image sampling, we would be able to get finite samples of the analog signals.

Though, the concept is not limited here.

If you want to know more about this interesting concept, read this blog post till the end and strengthen your knowledge.

Read on!

What exactly is sampling?

The basic understanding of sampling is essential to master digital imaging. In simpler terms, image sampling is the process to select pixels from a given image for the creation of a new image.

Sampling in other terms is also defined as the process of collecting data from several analog sources like any photograph or a video.

Then the digital images are generated from the samples with the analog sources.

Among the most ideal ways in which image sampling defines the resolution of an image is with upsampling and downsampling. Downsampling mainly reduces the pixels of a particular image while doing the task of upsampling can enhance its numbers.

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