Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG
This addresses the need for better image compression for users and applications, though it appears incremental as it builds on existing JPEG standards.
The paper tackled the problem of improving JPEG image compression by introducing Jpegli, which achieved a 54% preference rate over existing encoders like libjpeg-turbo and MozJPEG while using fewer bits per pixel (2.8 vs. 3.8 and 3.5).
We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-turbo quality 95, the Jpegli images were 54% likely to be preferred over both libjpeg-turbo and MozJPEG images, but used only 2.8 bits per pixel compared to libjpeg-turbo and MozJPEG that used 3.8 and 3.5 bits per pixel respectively. The raw ratings and source images are publicly available for further analysis and study.