Google Rolls Out New 'Jpegli' JPEG Coding Library

Google has introduced a new JPEG library called Jpegli, which reduces noise and improves image quality over traditional JPEGs. Proponents of the technology said it has the potential to make the Internet faster and more beautiful. InfoWorld reports: Announced April 3 and accessible from GitHub, Jpegli maintains high backward compatibility while offering enhanced capabilities and a 35% compression ratio at high-quality compression settings, Google said. Jpegli works by using new techniques to reduce noise and improve image quality. New or improved features include adaptive quantization heuristics from the JPEG XL reference implementation, improved quantization matrix selection, calculation of intermediate results, and the possibility to use more advanced colorspace.

The library provides an interoperable encoder and decoder complying with the original JPEG standard and its most convenient 8-bit formalism and API/ABI compatibility with libjeg-turbo and MozJPEG. When images are compressed or decompressed through Jpegli, more precise and psycho-visually effective computations are also performed; images will look clearer and have fewer observable artifacts. While improving on the density ratio of image quality and compression, Jpegli's coding speed is comparable to traditional approaches such as MozJPEG, according to Google. Web developers can thus integrate Jpegli into existing workflows without sacrificing coding speed, performance, or memory use.

Jpegli can be encoded with 10-plus bits per component. The 10-bit encoding happens in the original 8-bit formalism and the resulting images are interoperable with 8-bit viewers. The 10-bit dynamics are available as an API extension and application code changes are necessary to apply it. Also, Jpegli compresses images more efficiently than traditional JPEG codecs; this can save bandwidth and storage space and make web pages faster, Google said.

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