Gianni Rosato

oavif is a new approach to target quality encoding in image compression, designed around smarter convergence strategies and quicker scoring to be as fast as possible.

The best open source video and image compression algorithms have improved significantly over the past year, and developer tools have miraculously kept up with this rapid pace.

Comparing video encoders involves using synthetic metrics to assess visual quality, helping generate data that can be visualized.

SVT-AV1-PSY, a community fork of the SVT-AV1 video encoder, was created to enhance perceptual quality and ease of use for AV1 encoding.

How tiny can very tiny banner images get?

Writing a fast and simple QOI encoder; illustrated with code examples, a spec breakdown, and step by step implementation instructions.

Comparing the efficacy of various lossless data compression algorithms on text data, comparing time to compress vs output size.

A brand new JPEG implementation from Google – called jpegli – supports the use of a perceptual colorspace to improve compression efficiency.

JPEG is old, but a new perceptually optimized encoder just became available from Google called jpegli.

This article compares Nvidia's NVENC encoder to Intel's QSV encoder for AV1, as well as for other codecs.

The current debate surrounding AVIF versus JPEG XL needs some third-party quantitative data to support arguments on either side.

A collection of the images I used for the blog post published on the same day as this one, lossily compressed with JPEG XL.

Let's compare browser performance across a variety of architectures, operating systems, and browsers.

In this test, we will compare the latest Aviator release to the latest Handbrake release in terms of visual quality per bit.

Aviator aims to enable simple, accessible AV1 encoding for everyone with a GUI powered by a fast AV1 encoder.

rAV1ator, a powerful AV1 encoding GUI, sees its 1.0 release.