~/talk

Product image optimization at Mister Spex

Talkat code.talks 2019 · 2019-10-24..10-25· [web-performance, web-platform]
slides:none on file

An automated unsupervised pipeline converts supplier photos to a 16-bit PNG intermediate, applies a two-step ImageMagick resize, then iteratively compresses with progressive JPEGs and tuned chroma subsampling (preferring 4:2:0), measuring structural dissimilarity (DSSIM) and using an adaptive entropy-based quality adjustment to pick the lowest quality that stays below the visual threshold. PNGs use PNGQuant index-color conversion when transparency is needed. The system runs on thousands of SKUs, pushes results to S3/CloudFront, and reduces typical product-file size to about 68% while keeping acceptable visual fidelity.

AI-written summary · about

  1. 0:00Start
  2. 3:41Product Images
  3. 18:10Resizing
  4. 20:02Image Complexity
  5. 23:14Retina Images
  6. 26:35Shrinking Process
  7. 28:56Chroma Subsampling
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