JPEG-XL Libjxl 0.12 Brings More Performance Optimizations
摘要
libjxl 0.12 新版发布，新增 jxltran 工具支持从 JXLP 框中提取 codestream，以及对渐进无损图像的重大解码优化。文章称无损图像比之前小 30-80%，解码更快；编码性能通过 SIMD 加速 EstimateCost 提升 5%，加速模块编码解码最快提升 4 倍，histogram 编码解码也大幅重构，整体带来 2-5 倍编码性能提升。
荐读理由
libjxl 0.12 集成多线程与 SIMD 加速，编码解码性能提升 2-5 倍，同时 lossless 图像体积缩小 30-80%，直接可用于 AI 工程项目中的图像编码优化
原文
JPEG-XL libjxl 0.12 Brings More Performance Optimizations
Written by Michael Larabel in Free Software on 2 July 2026 at 05:44 AM EDT. 8 Comments
A new release of libjxl is now available for this reference implementation of the JPEG-XL image format, including both image encode and decode support.
The libjxl 0.12 release debuted yesterday and added support for new tooling features, the new jxltran tool for extracting codestreams from JXLP boxes, and a "major overhaul" for faster decoding and better handling of progressive lossless images.
With JPEG-XL's libjxl 0.12 release, progressive lossless images are 3040% smaller than before while with new multi-threaded handling there is a 2-5x performance improvement in encoding performance. Lossless images in general are decoding faster too and 3080% smaller.
Libjxl 0.12 also improves encoding speeds by SIMDifying EstimateCost for a 5% performance improvement, up to 4x faster performance for accelerated modular encoding and decoding via SIMD optimizations, a "massive" overhaul to histogram encoding/decoding for more performance too, and a variety of other SIMD optimizations and performance improvements at large.
Downloads and more details on the many libjxl 0.12 changes can be found via GitHub.
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