Image compression has come a long way since the early days of the web. Understanding the math behind these algorithms helps us appreciate how we can represent complex visual data in tiny file sizes.
At the heart of JPEG compression is the DCT. It converts an image from a collection of pixel intensities into a collection of frequency components. Since the human eye is less sensitive to high-frequency color changes, we can discard that data without losing perceived quality.
Today, neural networks are being used to "reconstruct" images from even less data. While still in early stages for browser-based tools, AI compression promises file sizes reaching 50% less than even WebP with better clarity.
For every 1 second of improvement in page load time, conversion rates can increase by up to 20%. Mastering your image compression strategy isn't just a technical task—it's a business necessity.