Progressive image decoding is an excellent way in which to accelerate page loads and hence improve the web-browsing experience. This post explains why and elaborates on the recent developments for that approach.
Low-quality image placeholders (LQIPs) were originally introduced to enable webpages to load correctly in an orderly manner, displaying ultrasmall, blurry images while the actual version is loading, which works well with lazy loading in JavaScript. Then came a dilemma: should we add more JavaScript to help images load faster even though we must wait for the same JavaScript to run before they can load? It was a chicken-and-egg situation.
In the web-design arena, what you don’t see can hurt you. Worse, it could damage your brand’s reputation, let alone hurt the bottom line. I’m talking about images, which can consume a lot of bandwidth, upwards of 70 percent in some sites. Viewing them incurs a cost on your and your visitors’ part. In fact, you’re probably charged for images that are not displayed because visitors don’t scroll down far enough to view them.
I've been working to create a new image format, which I'm calling FUIF, or Free Universal Image Format. That’s a rather pretentious name, I know. But I couldn’t call it the Free Lossy Image Format (FLIF) because that acronym is not available any more (see below) and FUIF can do lossless, too, so it wouldn’t be accurate either.
[Author's Note:] This article is inspired by the work of José Manuel Pérez. A lot of the information presented here appeared, in one form or another, in a talk Perez gave at Render 2017 in Oxford, England. If this article inspires you, check out his original talk.