Show HN: Smlr – re-encode jpegs using butteraugli visual quality measurement

https://github.com/jasonmoo/smlr

by jasonmoo • 10 years ago

53 5 10 years ago

github.com

peternicky• 10 years ago

First thing that popped into my head when reading this title was Silicon Valley.

jasonmoo• 10 years ago

Had that in mind when I named it.

saturncoleus• 10 years ago

It looks like this binary searches across the Go quality levels to find acceptable quality. This isn't a bad idea, but it won't be fruitful. The Go standard library JPEG encoder is pretty basic, and reuses the quant tables from the spec. It also doesn't optimize the huffman tables, so the pics are typically 10% bigger than they need to be.

This idea, taken to the extreme is mozjpeg. It is really advanced and can take advantage of a lot of cool tricks (like trellis optimization) in order to get the absolute best quality for the size.

https://github.com/mozilla/mozjpeg

jsguy• 10 years ago

Yeah I got it running - not encouraging results - image sizes grew by about 10%.

ZeroGravitas• 10 years ago

There's an existing tool that does this and uses mozjpeg.

It's called jpeg-recompress and is part of the jpeg-archive project on Github.

It currently can use mean-pixel-error, SSIM (the default), MS-SSIM and SmallFry (an implementation of the patented algorithm used by the JPEG mini app). So they may be open to adding this new comparison algorithm too.

edit: someone already filed an issue asking them to look at it:

https://github.com/danielgtaylor/jpeg-archive/issues/40

Show HN: Smlr – re-encode jpegs using butteraugli visual quality measurement

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