Content-aware image resizing in JavaScript

It'd be pretty interesting to train an ML model. You could generate a bunch of training examples: downsize lots of images, then use the upsized versions as targets.

It's not quite the same thing as superresolution, since it's seam carving.

That's more related to a problem known as infilling. Generally throwing out information is a lot easier than generating it. You can do some statistical things by sampling other points of the image into newly created "gap" but it will probably look bad if fully automated, at least on big changes.

There's an obvious version of the algorithm in that direction. For one line "seam", it's easy enough, you just pull data from either side. But repeatedly applying it the more often your new "seams" end up next to something already estimated, the less real information there is - I suspect this becomes visually noticeable pretty fast.

It would be awesome if sharp (https://github.com/lovell/sharp) would implement this algorithm

Yaz, Right???

One of the biggest complaints I have about HN is that it promotes really crappy "Look at me! I just learned a thing and wrote a 300 word blog doing a crappy job explaining it because I don't really get it but want to pad my CV..."

This article is exceptional. Thank you OP.

I first saw this algorithm in the mid 2000s, maybe when it was invented. It’s simple in retrospect but it’s a beautiful fusion of physics, algorithms, and graphics. Amazing things happen at the cross section of different disciplines.