Experimenting with mozjpeg 2.0

2 minute read

One of the services that CloudFlare provides to paying customers is called Polish. Polish automatically recompresses images cached by CloudFlare to ensure that they are as small as possible and can be delivered to web browsers as quickly as possible.

We've recently rolled out a new version of Polish that uses updated techniques (and was completely rewritten from a collection of programs into a single executable written in Go). As part of that rewrite we looked at the performance of the recently released mozjpeg 2.0 project for JPEG compression.

To get a sense of its performance (both in terms of compression and in terms of CPU usage) when compared to libjpeg-turbo I randomly selected 10,000 JPEG images (totaling 2,564,135,285 bytes for an average image size of about 256KB) cached by CloudFlare and recompressed them using the jpegtran program provided by libjpeg-turbo 1.3.1 and mozjpeg 2.0. The exact command used in both cases was:

jpegtran -outfile out.jpg -optimise -copy none in.jpg

Of the 10,000 images in cache, mozjpeg 2.0 failed to make 691 of them any smaller compared with 3,471 for libjpeg-turbo. So mozjpeg 2.0 was significantly better at recompressing images.

On average images were compressed by 3.0% using mozjpeg 2.0 (ignoring images that weren't compressed at all) and by 2.5% using libjpeg-turbo (again ignoring images that weren't compressed at all). This seems similar to Mozilla's reported 5% improvement compared to libjpeg-turbo.

So, mozjpeg 2.0 achieved better compression on this set of files and compressed many more of them (93.1% vs. 65.3%).

As example, here's an image, not from the sample set. Its original size was 1,984,669 bytes. When compressed with libjpeg-turbo it is 1,956,200 bytes (2.4% removed); when compressed with mozjpeg 2.0 it is 1,874,491 (5.6% removed). (The mozjpeg 2.0 version is 4.2% smaller than the libjpeg-turbo version).

Pic du Midi

The distribution of compression ratios seen using mozjpeg 2.0 is shown below.

Compression seen

This improved compression comes at a price. The run time for the complete compression (including where compression failed to create an improvement) was 273 seconds for libjpeg-turbo and 474 seconds for mozjpeg 2.0. So mozjpeg 2.0 took about 1.7x longer, but, of course, achieved better compression on more of the files.

Because we'd like to get the highest compression possible we've assigned an engineer internally to look at optimization of mozjpeg 2.0 (specifically for the Intel processors we use) and will contribute back improvements to the project.

We're investing quite heavily in optimization projects (such as improvements to gzip (code here) and LuaJIT, and things like a very fast Aho-Corasick implementation). If you're interested in low-level optimization for Intel processors, think about joining us.



Spotlight on Women in Cybersecurity

less than 1 minute read

Sucuri is committed to helping women develop their careers in technology. On International Women’s Day, Sucuri team members share their insights into workin...

Hacked Website Trend Report – 2018

less than 1 minute read

We are proud to be releasing our latest Hacked Website Trend Report for 2018. This report is based on data collected and analyzed by the GoDaddy Security / ...