First per-image PCA decomposition of Kodak suite reveals deliberate curation

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	First per-image PCA decomposition of Kodak suite reveals deliberate curation (github.com)
	9 points by PearsonZero 64 days ago

4 comments

angry_octet 61 days ago

These are the images: https://github.com/MohamedBakrAli/Kodak-Lossless-True-Color-...

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hypercube33 61 days ago

Can someone explain what this is like I'm the idiot I am?

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fragmede 61 days ago

The Kodak Lossless True Color Image Suite is an ancient set of reference images from days of film used to make jpeg, and everything else, reproduce colors (and other thing) accurately. The linked GitHub repo is a PCA (Principal Component Analysis) decomposition of those images, which is a bunch of math (linear algebra) you'd use to make compressed representations of those pictures aka how you'd save them as a jpeg. (PCA does a lot of other stuff, but that's what it's doing here.)

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thunderbong 61 days ago

Actual title -

Per-image principal component decomposition of the Kodak Lossless True Color Image Suite

From HN Guidelines [0]

Use the original title, unless it is misleading or linkbait; don't editorialize.

[0]: https://news.ycombinator.com/newsguidelines.html

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aaronbrethorst 61 days ago

I'd love some sort of "so what?" explainer in the README.

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choult 61 days ago

Or an abstract actually stating a conclusion versus the editorialized title in the HN post.

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fn-mote 61 days ago

Definitely. This breaks HN guidelines for the title.

I don’t know where you read to find the conclusion that the editorialized title claims.

What is “curation” anyway? No kidding, Kodak curated the collection. The HN title is either unsubstantiated or useless.

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nerdsniper 61 days ago

I imagine that would be found in the associated paper, but I’m not sure if it’s been published yet. I’m having trouble finding it.

Parent Paper: Baetzel, J. (2026). Statistical Characterization of Inter-Channel Redundancy Structure in the Kodak Lossless True Color Image Suite. Per-Image Principal Component Decomposition of PCD0992.

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