Brute Force Image Optimization
Optimizes the compression using ML based metrics in a trial ’n error sorta manner.
This is a tool that can competitively optimize (e.g.) extremely noisy, high resolution images; at the expense of increased encoding time and CPU overhead. This is a tradeoff that should be suitable for over 90% of online content, where site performance matters.
It's pretty easy too.
$ npm install --save imager-io
const ImageBuffer = ;ImageBuffer;
source : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 39.00M (4 images)kraken.io : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 24Mjpegmini.com : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 16Mcompression.ai: ▇▇▇▇▇▇▇▇ 8.90Mimager : ▇▇▇▇ 4.20M
Supported Input Image Formats
|PNG||All supported color types|
|JPEG||Baseline and progressive|
|TIFF||Baseline(no fax support) + LZW + PackBits|
|WebP||Lossy(Luma channel only)|
|PNM||PBM, PGM, PPM, standard PAM|
Essentially supports any image decodable by image-rs.
Supported Output Image Formats
These are your optimization targets (for lack of a better name). It’s a bit higher level, since e.g. rate control is automatically handled.
It’s possible and pretty easy to use Webpack and Imager already, here is an example.
Feedback, Requests, Bugs, Confusion & Performance Issues
Just use the GitHub issue tracker for this project.
Copyright 2019 Colbyn Wadman