This post will discuss how Kraken.io created and scaled an image optimization technology that handles millions of requests per day with the objective of always maintaining great performance while keeping costs as low as feasible. We provide our infrastructure in its current status at the time of writing, as well as some of the intriguing things we discovered along the way.
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Let’s Build An Image Optimizer
You want to start saving money on CDN fees and generally speeding up your websites by sending less bytes over the wire to your users’ browsers. Images alone are likely to account for more than 60% of your traffic.
With ImageMagick (you did read ImageTragick, correct?) and a simple command, you can reduce the quality of a JPEG file. Images on the Web should ideally be of exceptional quality, with no additional baggage in the form of overly excellent quality or EXIF metadata.
You now launch your preferred image-editing programme and begin experimenting with Q levels while creating a JPEG for the Web. It appears out that the image you tested looks fantastic at Q76. You begin by saving all of your JPEGs with the quality set to 76. But wait a minute… Some photos seem bad even with Q80, but others look OK even with Q60.
As a result, you write a script that creates hundreds of clones of an input picture at various Q levels. You now want a measure that will inform you which Q level is ideal for a certain image. MSE or SSIM? PSNR? MS-SSIM? You’re so anxious that you calculate and compare perceptual hashes of several variations of your input image.
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Some measurements are more effective than others. Some are more suited to certain sorts of photos than others. Some are lightning quick, while others take a long time to finish.
You can get away with minimising the amount of loops in which you analyse each image, but chances are you’ll miss your ideal Q level and the image will either be bulkier than it might be or suffer from too much quality deterioration.
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What about photographs of products against white backgrounds? You should strive to eliminate ringing/haloing artifacts surrounding the topic. What about per-image bespoke chroma-subsampling settings? That crimson outfit against the white background now appears faded out. You’ve discovered that removing EXIF metadata reduces file size slightly, but you also deleted the Orientation tag, resulting in all of your photographs being rotated improperly.
And that’s only for the JPEG format. For your PNGs, you should definitely re-compress your 7-Zip or Deflate compressed pictures using something more cutting-edge, such as Google’s Zopfli. You start your script and notice the fan on your CPU begins to melt.
You will most likely want a dependable programme that will optimise all of your photographs, regardless of format. Kraken.io is one such application.
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