Comment by aidenn0

3 years ago

One does wonder how much of JXL's awesomeness is the encoder vs. the format. Its ability to make high quality, compact images just with "-d 1.0" is uncanny. With other codecs, I had to pass different quality settings depending on the image type to get similar results.

That's a very good point. At this rate of development I wouldn't be surprised if libjxl becomes x264 of image encoders.

On the other hand, libvpx has always been a mediocre encoder which I think might be the reason for disappointing performance (I mean in general, not just speed) of vp8/vp9 formats, which inevitably also affected performance of lossy WebP. Dark Shikari even did a comparison of still image performances of x264 vs vp8 [0].

[0] https://web.archive.org/web/20150419071902/http://x264dev.mu...

  • While WebP lossy still has image quality issues it has improved a lot over the years. One should not consider a comparison done with 2010-2015 implementations indicative of quality performance today.

    • I'm sure it's better now than 13 years ago, but the conclusion I got from looking at very recent published benchmark results is that lossy webp is still only slightly better than mozjpeg at low bitrates and still has worse max. PQ ceiling compared to JPEG, which in my opinion makes it not worth using over plain old JPEG even in web settings.

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Pik was designed initially without quality options only to do the best there is to achieve distance 1.0.

We kept a lot of focus on visually lossless and I didn't want to add format features which would add complexity but not help at high quality settings.

In addition to modeling features, the context modeling and efficiency of entropy coding is critical at high quality. I consider AVIFs entropy coding ill-suited for high quality or lossless photography.

They've also made a JPEG encoder, cjpegli, with the same "-d 1.0" interface.