For this test I used a sample photograph pulled randomly off the internet.  A 775×580 image of a carnival ride with lots of color and fine detail.

After the same conversions, here’s an excerpt of the results:

And the filesizes?

  • Original PNG – 622,114 bytes
  • Compressed JPG – 125,712 bytes
  • WebP on default settings – 90,650 Bytes
  • WebP on high quality – 185,996 bytes
  • HIPIX on Normal Quality – 38,713 bytes
  • HIPIX on High Quality – 125,473 bytes

Again, on Low Quality the WebP wins for better quality, but at higher quality the HIPIX wins on filesize.  The low-quality HIPIX is simply unacceptible, with large blocky artifacts everywhere.  The WebP high and normal quality are visually indistinguishable.

So, numerically?

AlgorithmRMSE RedRMSE GreenRMSE BlueRMSE All
JPG1795.211132.292164.471750.22
WebP Normal1815.371059.982255.911780.29
WebP High1528.07745.6681975.681504.92
HIPIX Normal6179.336213.576105.626166.34
HIPIX High1634.22868.7231276.841298.16

The numbers back up just how intense the HIPIX Normal compression is, but there is an interesting change compared to the previous CIE1931 test.  The difference between the WebP High and HIPIX High settings isn’t concrete.  Both seem to focus very heavily on the Green channel, but handle the Red and Blue channels very differently.  Overall, the HIPIX High seems to do better overall at the higher-quality settings, but it’s a tossup aside from that.

So what conclusions can we draw?