Let's return to pixel processing and this time explore image blurring algorithms.

Let's explore a highly relevant topic in image processing: image scaling. You've likely encountered this task and may have even heard about interpolation algorithms used for scaling. This article will focus on that.

Today's article is about histograms. I'll cover what histograms can tell us about a photo, how to construct histograms, and how image adjustments affect their appearance.

Let's examine the most fundamental image correction parameters: brightness, saturation (without switching to HSV color model), contrast, and gamma.

Working with the RGB model isn't always convenient. For example, printers don't follow the RGB model, because they use white paper and consume less ink for light tones. This is why multiple models exist to solve various tasks. We'll discuss the main color models here. And to keep things interesting, we'll play around with some sliders.