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This reminds me of an experiment [1] we run a couple months back. We crawled top 100 Alexa websites and check the bloat in the images served to billions of user
by matylla 6y ago
This reminds me of an experiment [1] we run a couple months back. We crawled top 100 Alexa websites and check the bloat in the images served to billions of users.
[1]: https://optidash.ai/blog/optimizing-images-on-the-worlds-top-100-websites https://optidash.ai/blog/optimizing-images-on-the-worlds-top...
- tyingq 6y agoThat's really cool. It would be interesting to see what that 32% savings adds up to both for typical market bandwidth and AWS like egress rates. Curious, did your comparison ensure that none of the images lost any detail, etc? Or how much "lossiness" did you introduce to get the 32%?
- matylla 6y agoThanks for chiming in. It's a perceptually lossless optimization and recompression. We use saliency detection (trained on an eye-tracker) which tells us where the human vision system would look in the images and optimise those fragments (heatmaps) using our own comparison metrics. If you're interested in the details shoot me an email to przemek [at] optidash [dot] ai
- PeterWall 6y agoThank you for sharing this. It's interesting to see that even these big websites potentialy still have a lot of room for improvement for their loading times.