Media, namely images and video, account for over 70% of the bytes downloaded for the average website. In terms of download performance, eliminating media, and reducing file size is the low-hanging fruit. This article looks at optimizing image and video to improve web performance.
|Prerequisites:||Basic computer literacy, basic software installed, and basic knowledge of client-side web technologies.|
|Objective:||To learn about the various image formats, their impact on performance, and how to reduce the impact of images on overall page load time.|
This is a high-level introduction to optimizing multimedia delivery on the web, covering general principles and techniques. For a more in-depth guide, see https://images.guide.
Why optimize your multimedia?
For the average website, 51% of its bandwidth comes from imagery, followed by video at 25%, so it's safe to say it's important to address and optimize your multi-media content.
You need to be considerate of data usage. Many people are on capped data plans or even pay-as-you-go where they are literally paying by the megabyte. This isn't an emerging market problem either. As of 2018, 24% of the United Kingdom still use pay-as-you-go.
You also need to be considerate of memory as many mobile devices have limited RAM. It's important to remember that when images are downloaded, they need to be stored in memory.
Optimizing image delivery
Despite being the largest consumer of bandwidth, images load asynchronously so the visitor can see the page as they download and therefore, their impact on perceived performance is far lower than many expect. However, images are mostly used for content, so it's important that a visitor can see them as soon as possible for a good experience.
lazyload attribute that is currently in the experimental phase.
Beyond loading a subset of images, next you should look into the format of the images themselves:
- Are you loading the most optimal file formats?
- Have you compressed the images well?
- Are you loading the correct sizes?
The most optimal format
The optimal file format typically depends on the character of the image.
The less colors an image has and the less photographic it is, the better it is to use the SVG format. This requires the source to be available as in a vector graphic format. Should such an image only exist as a bitmap, then PNG would be the fallback format to chose. Examples for these types of motifs are logos, illustrations, charts or icons (note: SVGs are far better than icon fonts!). Both formats support transparency.
PNGs can be saved with three different output combinations:
- 24 bit color + 8 bit transparency — offer full color acurracy and smooth transparencies at the expense of size. You probably want to avoid this combination in favor for WebP (see below).
- 8 bit color + 8 bit transparency — offer no more than 255 colors but maintain smooth transparencies. The size is not too big. Those are the PNGs you would probably want.
- 8 bit color + 1 bit transparency — offer no more than 255 colors and just offer no or full transparency per pixel which makes the transparency borders appear hard and jagged. The size is small but the price is visual fidelity.
With photographic motifs that do not feature transparency there is a lot wider range of formats to chose from. If you want to play it safe, then you would go for well compressed Progressive JPEGs. Progressive JPEGs, in contrast to normal JPEGs, render progressively (hence the name), meaning the user sees a low-resolution version that gains clarity as the image downloads, rather than the image loading at full resolution top-to-bottom or even only rendering once completely downloaded. A good compressor for these would be MozJPEG, e.g. available to use in the online image optimization tool Squoosh. A quality setting of 75% should yield decent results.
Other formats improve on JPEG's capabilities in regards to compression, but are not available on every browser:
- WebP — created by Google and nowadays supported by all major browsers except Safari. Supports transparency and also animation, but not progressive display.
- JPEG-XR — created by Microsoft and only available in Internet Explorer and EdgeHTML based Edge. Doesn't support progressive display and the image decoding is not hardware accelerated and therefore resource-intensive on the browser's main thread.
- JPEG2000 — once to be successor to JPEG but only supported in Safari. Doesn't support progressive display either.
- AVIF — created by Alliance for Open Media (AOMedia) is an image format created from the AV1 video frames in the HEIF format. AVIF is designed for efficient compression that is known to be better than the late WebP. It is now supported from Chrome 85, while other browsers tend to add full support for it soon. See also an online tool to convert previous image formats to AVIF.
Given the narrow support for JPEG-XR and JPEG2000, and also taking decode costs into the equation, the only serious contender for JPEG today is WebP. Which is why you could consider offering your images in that flavor, too, for the browsers that support it. This can be done via the
<picture> element with the help of a
<source> element equipped with a type attribute.
If all of this sounds a bit complicated or feels like too much work for your team then there is also online services that you can use as image CDNs that will automate the serving of the correct image format on-the-fly, according to the type of device or browser requesting the image. The biggest ones are Cloudinary and Image Engine.
And finally, should you want to include animated images into your page, then know that Safari allows using video files within
<picture> elements. These also allow you to add in an Animated WebP for all other modern browsers.
<picture> <source type="video/mp4" src="giphy.mp4"> <source type="image/webp" src="giphy.webp"> <img src="giphy.gif"> </picture>
Serving the optimal size
In image delivery the "one size fits all" approach will not yield the best results, meaning that for smaller screens you would want to serve images with smaller resolution and vis-versa for larger screens. On top of that you'd also want to serve higher resolution images to those devices that boast a high DPI screen (e.g. "Retina"). So apart from creating plenty of intermediate image variants you also need a way to serve the right file to the right browser. That's where you would need to upgrade your
<source> elements with media and/or sizes attributes. A detailed article on how to combine all of these attributes can be found here.
Two interesting effects to keep in mind regarding high dpi screens is that:
- with high DPI screen, humans will spot compression artifacts a lot later, meaning that for images meant for these screens you can crank up compression beyond usual.
- Only a very few people can spot an increase in resolution beyond 2× DPI, which means you don't need to serve images resolving higher than 2×.
Controlling the priority (and ordering) of downloading images
Getting the most important images in front of visitors sooner than the less important can deliver improved perceived performance.
The first thing to check is that your content images use
<img> elements and your background images are defined in CSS with
background-image — images referenced in
<img> elements are assigned a higher loading priority than background images.
Secondly, with the adoption of Priority Hints, you can control the priority further by adding an
importance attribute to your image tags. An example use case for priority hints on images are carousels where the first image is a higher priority than the subsequent images.
As images are loaded asynchronously and continue to load after the first paint, if their dimensions aren't defined before load, they can cause reflows to the page content. For example, when text gets pushed down the page by images loading. For this reason, it's critical that you set
height attributes so that the browser can reserve space for them in the layout.
For any background images, it's important you set a
background-color value so any content overlaid is still readable before the image has downloaded.
In this section we took a look at image optimization. You now have a general understanding of how to optimize half of the average web sites average bandwidth total. This is just one of the types of media consuming users bandwidth and slowing down page load. Let's take a look at video optimization, tackling the next 20% of bandwidth consumption.
In this module
- The "why" of web performance
- What is web performance?
- How do users perceive performance?
- Measuring performance
- Multimedia: images
- Multimedia: video
- HTML performance features
- CSS performance features
- Fonts and performance
- Mobile performance
- Focusing on performance