Google researchers traced JPEG XL's evolution from experimental psychovisual modeling to an emerging image standard. The journey began in 2011 with WebP Lossless, introducing entropy image concepts that later influenced Brotli compression. By 2014, the team recognized mathematical metrics like PSNR were insufficient, leading to Butteraugli and XYB color space to better mimic human vision for more effective compression.

Projects Guetzli (2016) and Brunsli (2015) pushed legacy JPEG to its limits, achieving 20-30% smaller files while maintaining quality. These experiments provided crucial insights before merging with Cloudinary's FUIF proposal in 2019. The convergence created JPEG XL's hybrid architecture combining PIK's encoding speed with FUIF's sophisticated context trees, centered around Variable-block-size Discrete Cosine Transform.

Today, JPEG XL adoption spans critical industries: DICOM medical imaging, Adobe photography software, and Apple's ProRAW format. Native support exists across iOS, macOS, Ubuntu, and Windows. The format handles high bit-depth and lossless data efficiently, making it foundational for digital imaging standards. Safari led browser support in 2023, with Firefox and Chrome maintaining experimental implementations.

The researchers' iterative approach—building minimum-viable prototypes like Guetzli before standardization—demonstrates how small teams can drive industry transformation. Starting with modest JPEG optimizations, they've potentially established a digital imaging foundation lasting three decades.