Do you? I just tried it locally, and decoding a 4.9MB, 6000×4000 JPEG with djpeg took about 400ms; decoding its losslessly-recompressed JXL (4.15MB) single-threaded with djxl took 300ms.
Well, I said “with djxl”, and Chrome/Firefox use jxl-rs which happens to apparently be currently somewhat slower for that use-case (but libjxl being faster shows it doesn’t have to intrinsically be the case), and Safari uses libjxl but multithreaded (so it’s 800 ms for the JPEG and 137 ms for the JXL).
That's fair, at really high resolution, the JXL decoders in browsers do better than JPEG decoders. I'm pretty sure this is a weakness in the JPEG decoder rather than the format, but it's still a meaningful result.
At smaller sizes (more typical on the web), the results are opposite, the JPEG decodes much faster.
jxl-rs will presumably get much faster in time. The work on it started much later than work on libjxl (because it took years for anyone to say they had vested interest in it), and if my understanding is correct, it hasn’t been production-ready until recently. Once it behaves correctly, speed improvements are next in line, presumably.
There is indeed an issue with the JPEG format that makes parallelization difficult: the lack of a 'table of contents' with offsets to tiles.
Various workarounds (for example RST markers or self-sychronizing properties of Huffman) have been proposed, but these are not great and do not work for all images.
JPEG XL ensures this information is always available.
I guess my surprise is mostly that it hasn't been adopted elsewhere. For instance, it still boggles my mind I can't store my JPEG XL images on Google Photos nor take photos as JPEG XL images directly on my Samsung smartphone, but can use HEIC for some fruity reason.
